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📣 Exciting news! 🚀 Introducing HyperCoast, our brand new Python package! 🐍🌊 Experience the power of visualizing NASA EMIT and PACE hyperspectral data interactively. 🌟✨ Plus, easily plot spectral signatures without coding. Stay tuned for more amazing features to come! Check out the GitHub repository: 🔗 GitHub: Try out...

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Qiusheng Wu

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23,973 görüntüleme • 2 yıl önce •via X (Twitter)

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Visualizing individual hyperspectral bands with only one line of code

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Qiusheng Wu2 yıl önce

Visualizing NASA EMIT Hyperspectral data

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HUDI1 yıl önce

🚀 Just released: our groundbreaking documentation update for HUDI! 🐸 Dive deep into the innovative DataMask features and explore the future of decentralized data with our new Data Apps, including the revolutionary Health app. Secure, private, and now truly usable—welcome to the next level of Web3 data management! 🌐🔐 👉🔗 #Web3 #DataPrivacy #DataApps #HUDI #DeFi

Benzer Videolar

🚀 Sneak Peek: Interactive Visualization of the Planet Tanager Hyperspectral Data ( Using the HyperCoast Python package Stay tuned for notebook examples and video tutorials. GitHub: #geospatial #Tanager #Python #DataScience
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🚀 Sneak Peek: Interactive Visualization of the Planet Tanager Hyperspectral Data ( Using the HyperCoast Python package Stay tuned for notebook examples and video tutorials. GitHub: #geospatial #Tanager #Python #DataScience

Qiusheng Wu

16,642 görüntüleme • 1 yıl önce

🚀 Excited to announce the publication of our latest paper in the Journal of Open Source Software! 🎉 bingqing liu 📖 Title: HyperCoast: A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments 🔗 GitHub: 🌐 Website: 📄 Paper: #Geospatial #OpenSource #DataViz #Python
2:29

🚀 Excited to announce the publication of our latest paper in the Journal of Open Source Software! 🎉 bingqing liu 📖 Title: HyperCoast: A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments 🔗 GitHub: 🌐 Website: 📄 Paper: #Geospatial #OpenSource #DataViz #Python

Qiusheng Wu

17,409 görüntüleme • 1 yıl önce

🚀 Visualizing Planet’s Tanager Hyperspectral Data in 3D! 🌍🛰️ Create an interactive image cube to explore the internal structure of all 426 spectral bands captured by Planet’s Tanager mission — going far beyond the traditional RGB view of desktop GIS tools. This approach allows for a deeper comparison of spectral characteristics across different land cover types and supports more advanced geospatial analysis. 📓 Try the notebook example: 💻 Explore the code on GitHub: #Hyperspectral #Geospatial #Tanager #Python #DataScience #OpenSource
1:02

🚀 Visualizing Planet’s Tanager Hyperspectral Data in 3D! 🌍🛰️ Create an interactive image cube to explore the internal structure of all 426 spectral bands captured by Planet’s Tanager mission — going far beyond the traditional RGB view of desktop GIS tools. This approach allows for a deeper comparison of spectral characteristics across different land cover types and supports more advanced geospatial analysis. 📓 Try the notebook example: 💻 Explore the code on GitHub: #Hyperspectral #Geospatial #Tanager #Python #DataScience #OpenSource

Qiusheng Wu

11,341 görüntüleme • 1 yıl önce

Turn any GitHub repository into LLM-ready text! Simply replace "hub" with "ingest" in a GitHub URL and receive a prompt-friendly text ingest for LLMs. Gitingest is 100% open-source and provides: - Directory structure - A brief summary of the project - The entire content as LLM-ready text Plus, it comes with a nice python package and you can run the UI locally! Stay tuned, I'm working on something really cool with this!✨ Link to the GitHub repo in the next tweet! _____ Find me → Akshay 🚀 ✔️ For more insights and tutorials on ML and AI Engineering!
0:29

Turn any GitHub repository into LLM-ready text! Simply replace "hub" with "ingest" in a GitHub URL and receive a prompt-friendly text ingest for LLMs. Gitingest is 100% open-source and provides: - Directory structure - A brief summary of the project - The entire content as LLM-ready text Plus, it comes with a nice python package and you can run the UI locally! Stay tuned, I'm working on something really cool with this!✨ Link to the GitHub repo in the next tweet! _____ Find me → Akshay 🚀 ✔️ For more insights and tutorials on ML and AI Engineering!

Akshay 🚀

191,382 görüntüleme • 1 yıl önce

🚨 Big news, everyone! We’re thrilled to announce the soft launch of our new UI to interact with agents, starting with our GitHub agent, StaffEngineer. 🚀 It’s officially LIVE: This marks the evolution of our agents—from cool demos and tweets to real, practical use cases. Whether it’s creating/managing issues, commenting, reviewing PRs, or more, this is your chance to experience what we’ve been building. ✨ Highlights: GitHub Superpowers: Let agents handle the heavy lifting with GitHub. Experimental Features: Try end-to-end workflows like Issue Creation → Code Change → Commit → PR. Autonomous Mode: where agents reason and act (or don't) accordingly! Coming soon—but you can explore the foundational building blocks right now. Check out the exciting user flows in our demo and join us in transforming how our community interacts with these tools. 🌐✨ 📘 Full User Guide: Under the GitHub section, featuring examples and tips for engaging with our agents effectively given the beta constraints (i.e. using a test github account, public vs. private repo, etc) Let’s build the future, one agent at a time! 🛠️ PS: Shoutout to ai16zdao for keeping the client the UI sharp and clean. 👏 PPS: Stay tuned—our Coinbase 🛡️ agent is dropping soon! 🚀🚀🚀
1:56

🚨 Big news, everyone! We’re thrilled to announce the soft launch of our new UI to interact with agents, starting with our GitHub agent, StaffEngineer. 🚀 It’s officially LIVE: This marks the evolution of our agents—from cool demos and tweets to real, practical use cases. Whether it’s creating/managing issues, commenting, reviewing PRs, or more, this is your chance to experience what we’ve been building. ✨ Highlights: GitHub Superpowers: Let agents handle the heavy lifting with GitHub. Experimental Features: Try end-to-end workflows like Issue Creation → Code Change → Commit → PR. Autonomous Mode: where agents reason and act (or don't) accordingly! Coming soon—but you can explore the foundational building blocks right now. Check out the exciting user flows in our demo and join us in transforming how our community interacts with these tools. 🌐✨ 📘 Full User Guide: Under the GitHub section, featuring examples and tips for engaging with our agents effectively given the beta constraints (i.e. using a test github account, public vs. private repo, etc) Let’s build the future, one agent at a time! 🛠️ PS: Shoutout to ai16zdao for keeping the client the UI sharp and clean. 👏 PPS: Stay tuned—our Coinbase 🛡️ agent is dropping soon! 🚀🚀🚀

Reality Spiral

21,068 görüntüleme • 1 yıl önce

GeoLibre v1.4.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings field data collection, image georeferencing, and a full Jupyter notebook experience right next to the map. What's new in v1.4.0 - Jupyter beside the map: Run notebooks alongside your map (JupyterLite in the browser, JupyterLab on the desktop). - Field data collection: Capture point observations in the field with custom, configurable forms. - Georeferencer: Pin a scanned map or image to the map using ground control points. - Spectral Index toolbox: Compute NDVI, NDWI, EVI, and more directly from your rasters. - Better internationalization: Correct rendering of right-to-left basemap labels (Arabic, Hebrew). - More reliable data handling: Render GeoPackages without GDAL's WASM thread crash. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python
1:12

GeoLibre v1.4.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings field data collection, image georeferencing, and a full Jupyter notebook experience right next to the map. What's new in v1.4.0 - Jupyter beside the map: Run notebooks alongside your map (JupyterLite in the browser, JupyterLab on the desktop). - Field data collection: Capture point observations in the field with custom, configurable forms. - Georeferencer: Pin a scanned map or image to the map using ground control points. - Spectral Index toolbox: Compute NDVI, NDWI, EVI, and more directly from your rasters. - Better internationalization: Correct rendering of right-to-left basemap labels (Arabic, Hebrew). - More reliable data handling: Render GeoPackages without GDAL's WASM thread crash. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python

Qiusheng Wu

29,386 görüntüleme • 1 ay önce

Exciting update on PantheonOS: Introducing Pantheon-Notebook & Pantheon-CLI — the first fully open-source, Python-based agentic tools that go beyond Claude Code in the field of data analysis. Pantheon-CLI runs entirely on your computer or server, supports 60+ tools and 50+ databases, and can call any Python, R, or Julia package alongside natural language. Chat with your data directly. It look like python-claude-code, but more appreciate for data analysis. Pantheon-Notebook brings the same agentic framework into Jupyter! Not just for writing code, it can also run and revise code automatically to generate the correct result, and even operate on files and study from website — beyond what any other tool can do! With Pantheon, you mix natural language + programming in one workflow, focusing on discovery instead of syntax barriers. We've applied Pantheon in some real-world cases: finance (customer explore), biology (Seurat, cell segmentation, annotation), sociology (survey analysis), and drug discovery (molecular docking). Pantheon is not just a CLI or a plugin — it's an agentic operating system for science, spanning both terminal and notebook. Why not try it now? We are actively preparing publications from this series of projects. Major contributors will be recognized in our GitHub repository and listed as key authors in these manuscripts. Feel free to reach out for collaborations, research assistant positions, visiting opportunities, rotation project or future PhD projects.
1:16

Exciting update on PantheonOS: Introducing Pantheon-Notebook & Pantheon-CLI — the first fully open-source, Python-based agentic tools that go beyond Claude Code in the field of data analysis. Pantheon-CLI runs entirely on your computer or server, supports 60+ tools and 50+ databases, and can call any Python, R, or Julia package alongside natural language. Chat with your data directly. It look like python-claude-code, but more appreciate for data analysis. Pantheon-Notebook brings the same agentic framework into Jupyter! Not just for writing code, it can also run and revise code automatically to generate the correct result, and even operate on files and study from website — beyond what any other tool can do! With Pantheon, you mix natural language + programming in one workflow, focusing on discovery instead of syntax barriers. We've applied Pantheon in some real-world cases: finance (customer explore), biology (Seurat, cell segmentation, annotation), sociology (survey analysis), and drug discovery (molecular docking). Pantheon is not just a CLI or a plugin — it's an agentic operating system for science, spanning both terminal and notebook. Why not try it now? We are actively preparing publications from this series of projects. Major contributors will be recognized in our GitHub repository and listed as key authors in these manuscripts. Feel free to reach out for collaborations, research assistant positions, visiting opportunities, rotation project or future PhD projects.

evo-devo

45,594 görüntüleme • 11 ay önce

🚀 Introducing TedAI: Invest, Earn, Learn, Create! 🚀 Hey everyone! We are thrilled to present TedAI, your gateway to revolutionizing the way you engage with blockchain and AI. 🌟 🔹 Invest: Dive into the future of technology and watch your investments grow with TedAI. 🔹 Earn: Leverage our innovative TED tokenomics to reap exciting rewards. 🔹 Learn: Experience fun and interactive blockchain education like never before. 🔹 Create: Unleash your creativity with our AI-powered tools for meme coins and NFTs. Watch our presentation video to see how TedAI is transforming the digital landscape and empowering you to be a part of this incredible journey. 🌐✨ Don't miss out on this opportunity to be at the forefront of tech innovation. Join the TedAI community today and let’s shape the future together! 🌐 Website 📄 Whitepaper 🧸 X 💬 Discord 📣 TG
0:41

🚀 Introducing TedAI: Invest, Earn, Learn, Create! 🚀 Hey everyone! We are thrilled to present TedAI, your gateway to revolutionizing the way you engage with blockchain and AI. 🌟 🔹 Invest: Dive into the future of technology and watch your investments grow with TedAI. 🔹 Earn: Leverage our innovative TED tokenomics to reap exciting rewards. 🔹 Learn: Experience fun and interactive blockchain education like never before. 🔹 Create: Unleash your creativity with our AI-powered tools for meme coins and NFTs. Watch our presentation video to see how TedAI is transforming the digital landscape and empowering you to be a part of this incredible journey. 🌐✨ Don't miss out on this opportunity to be at the forefront of tech innovation. Join the TedAI community today and let’s shape the future together! 🌐 Website 📄 Whitepaper 🧸 X 💬 Discord 📣 TG

CRYPTO ASTRONAUT

21,076 görüntüleme • 2 yıl önce

🎁 A New Year’s gift to the geospatial community: a brand-new QGIS plugin that unlocks access to 80+ petabytes of satellite imagery and geospatial datasets with zero coding required. In my first video of 2026, I’m excited to share what might be one of the most powerful QGIS plugins I’ve built so far. This plugin makes it incredibly easy to explore the official Earth Engine Data Catalog and the Awesome GEE Community Catalog directly inside QGIS. With just a few clicks, you can browse massive Earth Engine datasets, visualize them on the map, generate time series from ImageCollections, export data for further analysis, and even convert Earth Engine JavaScript workflows to Python, all without writing a single line of code. If you’ve ever wanted the power of Earth Engine inside QGIS without the learning curve, this plugin is for you. 👉 Download the plugin and follow the full step-by-step video tutorial to get started today: QGIS Plugin Page: GitHub Repository: Video Tutorial: Happy New Year, and I hope this tool helps you do more with geospatial data in 2026 🚀 #QGIS #geospatial #EarthEngine #Python #datascience
1:38

🎁 A New Year’s gift to the geospatial community: a brand-new QGIS plugin that unlocks access to 80+ petabytes of satellite imagery and geospatial datasets with zero coding required. In my first video of 2026, I’m excited to share what might be one of the most powerful QGIS plugins I’ve built so far. This plugin makes it incredibly easy to explore the official Earth Engine Data Catalog and the Awesome GEE Community Catalog directly inside QGIS. With just a few clicks, you can browse massive Earth Engine datasets, visualize them on the map, generate time series from ImageCollections, export data for further analysis, and even convert Earth Engine JavaScript workflows to Python, all without writing a single line of code. If you’ve ever wanted the power of Earth Engine inside QGIS without the learning curve, this plugin is for you. 👉 Download the plugin and follow the full step-by-step video tutorial to get started today: QGIS Plugin Page: GitHub Repository: Video Tutorial: Happy New Year, and I hope this tool helps you do more with geospatial data in 2026 🚀 #QGIS #geospatial #EarthEngine #Python #datascience

Qiusheng Wu

84,918 görüntüleme • 6 ay önce

Hey Anon🟧, Beta is Here – A Glimpse into the Future of DeFAI We’ve skipped the Alpha stage entirely to bring you straight into Public Beta v0.1—your first hands-on experience with DeFAI and Gemma on the 7th of February. What Can You Expect? 🚀 Live, Evolving Experience – From launch, we’ll be testing and integrating every update pushed on Automate’s GitHub. HeyAnon will continuously improve, adding more features and refining workflows, aiming for a fully comprehensive experience by the end of the month. 🔄 Simplified Workflows – Execute multi-action prompts that streamline complex DeFi processes. 🔑 Flexible Onboarding – Connect with Wallet Connect, generate a wallet in Telegram, or use Passkey. ⚡️ Real-Time Functionality – Experience DeFAI fully live, and get a sneak peek at the future of automated DeFi. We’ll be sharing examples and user videos to showcase what’s already possible, so stay tuned. (Make sure to check our docs and guides for the best experience!) 💌 Meet Gemma Gemma AI - The Assistant That Grows with You Gemma is here, and she’s just getting started. As data streams from Messari, Kaito, Cookie, and our internal data mining expand, she will continuously evolve, bringing: 📊 Enhanced Protocol-Specific Capabilities 🔗 More Integrated Data Streams ⚡️ Ongoing AI and Automate Upgrades This is the beta, the starting point, the appetizer - but the full DeFAI experience is coming in multiple courses over the month. Expect rapid improvements, more integrations, and a constantly evolving ecosystem. 🚀 DeFAI starts now.
0:35

Hey Anon🟧, Beta is Here – A Glimpse into the Future of DeFAI We’ve skipped the Alpha stage entirely to bring you straight into Public Beta v0.1—your first hands-on experience with DeFAI and Gemma on the 7th of February. What Can You Expect? 🚀 Live, Evolving Experience – From launch, we’ll be testing and integrating every update pushed on Automate’s GitHub. HeyAnon will continuously improve, adding more features and refining workflows, aiming for a fully comprehensive experience by the end of the month. 🔄 Simplified Workflows – Execute multi-action prompts that streamline complex DeFi processes. 🔑 Flexible Onboarding – Connect with Wallet Connect, generate a wallet in Telegram, or use Passkey. ⚡️ Real-Time Functionality – Experience DeFAI fully live, and get a sneak peek at the future of automated DeFi. We’ll be sharing examples and user videos to showcase what’s already possible, so stay tuned. (Make sure to check our docs and guides for the best experience!) 💌 Meet Gemma Gemma AI - The Assistant That Grows with You Gemma is here, and she’s just getting started. As data streams from Messari, Kaito, Cookie, and our internal data mining expand, she will continuously evolve, bringing: 📊 Enhanced Protocol-Specific Capabilities 🔗 More Integrated Data Streams ⚡️ Ongoing AI and Automate Upgrades This is the beta, the starting point, the appetizer - but the full DeFAI experience is coming in multiple courses over the month. Expect rapid improvements, more integrations, and a constantly evolving ecosystem. 🚀 DeFAI starts now.

Hey Anon

77,761 görüntüleme • 1 yıl önce

🚀 Exciting News! We're thrilled to announce the launch of Qwen Chat ( ) – your new go-to Web UI for interacting with Qwen models! 🌟 💬 Chat effortlessly with our flagship model Qwen2.5-Plus , explore vision-language capabilities with Qwen2-VL-Max , and dive into reasoning models like QwQ and QVQ, code with coding expert Qwen2.5-Coder-32B-Instruct, etc. ✨ Key Features: * Choose & compare multiple models in one interface * Upload documents & get answers based on them * Preview mode with HTML support * Upload images for visual understanding 🌟 Coming Soon: Web search, image generation, voice mode, and more! 🔗 Ready to experience the future? Start to chat with Qwen today 💬 Feel free to send us your feedback and suggestions!
1:53

🚀 Exciting News! We're thrilled to announce the launch of Qwen Chat ( ) – your new go-to Web UI for interacting with Qwen models! 🌟 💬 Chat effortlessly with our flagship model Qwen2.5-Plus , explore vision-language capabilities with Qwen2-VL-Max , and dive into reasoning models like QwQ and QVQ, code with coding expert Qwen2.5-Coder-32B-Instruct, etc. ✨ Key Features: * Choose & compare multiple models in one interface * Upload documents & get answers based on them * Preview mode with HTML support * Upload images for visual understanding 🌟 Coming Soon: Web search, image generation, voice mode, and more! 🔗 Ready to experience the future? Start to chat with Qwen today 💬 Feel free to send us your feedback and suggestions!

Qwen

215,137 görüntüleme • 1 yıl önce

👋 Meet Dr. Liu, the mastermind behind Solis' groundbreaking innovations, as he unveils our latest energy storage solution—the S6-EH3P(8-15)K-L! 🚀 This top-tier inverter is crafted to effortlessly meet all your energy requirements. Whether you're aiming for off-grid living or seeking a reliable backup power source, it has you covered. 🌞🔋 As the brain of your PV system, it intelligently controls system components, including automatic generator start/stop and smart load management. Experience safer, more reliable power, with greater peace of mind and enhanced cost savings. Ready to dive deeper? Stay tuned as we unveil a new feature every day—don't miss out on the insights! 🔍🌟 Learn more: #EnergyStorage #PowerSolutions #SolisInverters #SolarEnergy #Innovation #HybridInverters #EnergyRevolution
2:33

👋 Meet Dr. Liu, the mastermind behind Solis' groundbreaking innovations, as he unveils our latest energy storage solution—the S6-EH3P(8-15)K-L! 🚀 This top-tier inverter is crafted to effortlessly meet all your energy requirements. Whether you're aiming for off-grid living or seeking a reliable backup power source, it has you covered. 🌞🔋 As the brain of your PV system, it intelligently controls system components, including automatic generator start/stop and smart load management. Experience safer, more reliable power, with greater peace of mind and enhanced cost savings. Ready to dive deeper? Stay tuned as we unveil a new feature every day—don't miss out on the insights! 🔍🌟 Learn more: #EnergyStorage #PowerSolutions #SolisInverters #SolarEnergy #Innovation #HybridInverters #EnergyRevolution

Solis

97,246 görüntüleme • 1 yıl önce

GeoLibre v1.6.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings multi-map layouts, advanced cartographic symbology and labeling, and a one-click way to install external plugins from a zip. What's new in v1.6.0 - Multi-map grid: Split the workspace into a grid of synchronized map views to compare basemaps, layers, or time steps side by side. - Advanced symbology: Style features with a rule-based renderer, proportional symbols, fill patterns, and a built-in marker library. - Label engine: Label vector features by any attribute, with full placement and styling control. - Install plugins from a zip: Add external plugins from an uploaded zip on both desktop and web. - New vector analysis: Movement, space-time, and cell-coverage tools under Processing. - Faster sample data: Ready-to-load example datasets from a dropdown in every Add Data panel. - Place search in the layer panel: Geocode and fly to a location without leaving the Layers panel. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python #Cartography
0:38

GeoLibre v1.6.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings multi-map layouts, advanced cartographic symbology and labeling, and a one-click way to install external plugins from a zip. What's new in v1.6.0 - Multi-map grid: Split the workspace into a grid of synchronized map views to compare basemaps, layers, or time steps side by side. - Advanced symbology: Style features with a rule-based renderer, proportional symbols, fill patterns, and a built-in marker library. - Label engine: Label vector features by any attribute, with full placement and styling control. - Install plugins from a zip: Add external plugins from an uploaded zip on both desktop and web. - New vector analysis: Movement, space-time, and cell-coverage tools under Processing. - Faster sample data: Ready-to-load example datasets from a dropdown in every Add Data panel. - Place search in the layer panel: Geocode and fly to a location without leaving the Layers panel. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python #Cartography

Qiusheng Wu

15,293 görüntüleme • 1 ay önce

Crazy... I just found a super cheap way to code with AI Tried GLM 4.5 on Claude Code and I’m really impressed! Prompt: “create an interactive python app where users can track, manage or analyze data” And, It came up with: • Dashboard - a clean interface to see all your data at a glance • Datasets - manage multiple collections of data easily • Data entries - add, edit, and organize your records without hassle • Analysis - get insights and summaries directly from your data What I observed: Everything worked smoothly, GLM 4.5 is definitely one of the best open-source models for coding, I’ll keep using it. Check it out now: And the best part: super affordable coding plans! • Lite - $3/month (promo). ~120 prompts every 5 hours. Works with Claude Code, Roo Code, Cline, Kilo Code, and more. • Pro - $15/month (promo). 5× more usage than Lite. Faster. Includes image/video tools and web search. • Max - $30/month (promo). 4× more usage than Pro. Guaranteed performance. Early access to new features. Bonus - Use my referral link to get an extra 10% off on top of these promo prices! Video demo 👇
0:33

Crazy... I just found a super cheap way to code with AI Tried GLM 4.5 on Claude Code and I’m really impressed! Prompt: “create an interactive python app where users can track, manage or analyze data” And, It came up with: • Dashboard - a clean interface to see all your data at a glance • Datasets - manage multiple collections of data easily • Data entries - add, edit, and organize your records without hassle • Analysis - get insights and summaries directly from your data What I observed: Everything worked smoothly, GLM 4.5 is definitely one of the best open-source models for coding, I’ll keep using it. Check it out now: And the best part: super affordable coding plans! • Lite - $3/month (promo). ~120 prompts every 5 hours. Works with Claude Code, Roo Code, Cline, Kilo Code, and more. • Pro - $15/month (promo). 5× more usage than Lite. Faster. Includes image/video tools and web search. • Max - $30/month (promo). 4× more usage than Pro. Guaranteed performance. Early access to new features. Bonus - Use my referral link to get an extra 10% off on top of these promo prices! Video demo 👇

Chidanand Tripathi

83,854 görüntüleme • 9 ay önce

🍒Hello Cherry team! The long awaited day is here! 🎉 TON wallet connect is ready! Check out the tutorial video to seamlessly connect your TON wallet with Cherry Game. 🔥The $10,000 lottery campaign ends today at 9pm UTC! The top 500 players from the leaderboard can claim their USDT rewards using a TON wallet. A special claim button will appear on the Airdrop page 9pm UTC. Get ready for our next competition based on players' in-game activity and referrals. Massive USDT rewards are up for grabs! Cherry Game is growing faster than ever, with over 1 million players! We're constantly improving to make your experience better. Expect new features and updates soon. 🚀 🎮Leave other games that haven't paid out any rewards! Cherry Game is the top game that truly values its players. 💸 Cherry is here to deliver. We will be the first game to pay out USDT to its players! Join the Cherry revolution and invite your friends to start earning together. 🌟Stay tuned for more exciting updates. Keep tapping, earning, and winning! #Cherry $CHERRY
0:36

🍒Hello Cherry team! The long awaited day is here! 🎉 TON wallet connect is ready! Check out the tutorial video to seamlessly connect your TON wallet with Cherry Game. 🔥The $10,000 lottery campaign ends today at 9pm UTC! The top 500 players from the leaderboard can claim their USDT rewards using a TON wallet. A special claim button will appear on the Airdrop page 9pm UTC. Get ready for our next competition based on players' in-game activity and referrals. Massive USDT rewards are up for grabs! Cherry Game is growing faster than ever, with over 1 million players! We're constantly improving to make your experience better. Expect new features and updates soon. 🚀 🎮Leave other games that haven't paid out any rewards! Cherry Game is the top game that truly values its players. 💸 Cherry is here to deliver. We will be the first game to pay out USDT to its players! Join the Cherry revolution and invite your friends to start earning together. 🌟Stay tuned for more exciting updates. Keep tapping, earning, and winning! #Cherry $CHERRY

Cherry Trending

42,254 görüntüleme • 1 yıl önce

🚀 Introducing PantheonOS ( A Fully Open-Source Agent OS for Science PantheonOS began as a research project in my Stanford lab and has since evolved into a vision to redefine data science in the era of AI—starting with computational biology, especially single-cell and spatial genomics. PantheonOS is a general agent platform built from the ground up. It is arguably the first distributed agent framework designed for scientific data analysis. 🔑 Key Features 1. Multi-Agent Collaboration – Built-in paradigms for distributed, cross-machine cooperation among agents and toolsets. 2. Native Toolset Support – Python, R, Julia, LaTeX, and more—designed for real scientific workflows. 3. Modular & Extensible – Developer-friendly design with shallow wrappers, plus LLM-driven toolset generation. 4. Evolvable Agents – Capable of evolving large-scale code projects to achieve superhuman performance (e.g., evolving upon the original Harmony [I Korsunsky, 2019, Nature Biotechnology] and Scanorama [BL Hie, 2019, Nature Biotechnology] implementations), and even evolving the system itself to adapt to new fields. 🎉 Stepwise Release Strategy We’re releasing PantheonOS in stages: Pantheon-CLI (today!), followed by Pantheon-Lab, Pantheon-Notebook, Pantheon-Slack, and more. 🌟 Pantheon-CLI Highlights - We're not just building another CLI tool. We're defining how scientists will interact with data in the AI era. - Open, Powerful, Python-First – The first fully open-source, endlessly extendable scientific “vibe analysis” framework. - Mixed Programming Magic – Combine Python, natural language, R, or Julia—seamlessly in the same environment. - PhD-Level Assistant – A command-line agent for complex real-world genomics and beyond, handling workflows at the PhD level. - Privacy by Design – Run entirely offline with local LLMs—your data never leaves your computer. ✅ Proven Applications (10 Demonstrations) Computational biology: 1. ATAC-seq: From raw reads to peak matrix 2. RNA-seq: From raw reads to expression matrix 3. Complex single-cell workflows (PhD-level) 4. Hybrid natural language + R for Seurat annotation 5. Learning from web tutorials + invoking single-cell foundation models 6. Cell segmentation on 10x Genomics HD Visium data And beyond: 7. Mixed Python & R programming examples 8. Molecular docking & structural analysis 9. Exploratory factor analysis for behavioral survey data 10. Customer segmentation & finance analytics 🌐 Learn More & Get Started Website: Pantheon-CLI Documentation: GitHub Repo: 💬 Join our community: PantheonOS Slack: PantheonOS Discord:
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🚀 Introducing PantheonOS ( A Fully Open-Source Agent OS for Science PantheonOS began as a research project in my Stanford lab and has since evolved into a vision to redefine data science in the era of AI—starting with computational biology, especially single-cell and spatial genomics. PantheonOS is a general agent platform built from the ground up. It is arguably the first distributed agent framework designed for scientific data analysis. 🔑 Key Features 1. Multi-Agent Collaboration – Built-in paradigms for distributed, cross-machine cooperation among agents and toolsets. 2. Native Toolset Support – Python, R, Julia, LaTeX, and more—designed for real scientific workflows. 3. Modular & Extensible – Developer-friendly design with shallow wrappers, plus LLM-driven toolset generation. 4. Evolvable Agents – Capable of evolving large-scale code projects to achieve superhuman performance (e.g., evolving upon the original Harmony [I Korsunsky, 2019, Nature Biotechnology] and Scanorama [BL Hie, 2019, Nature Biotechnology] implementations), and even evolving the system itself to adapt to new fields. 🎉 Stepwise Release Strategy We’re releasing PantheonOS in stages: Pantheon-CLI (today!), followed by Pantheon-Lab, Pantheon-Notebook, Pantheon-Slack, and more. 🌟 Pantheon-CLI Highlights - We're not just building another CLI tool. We're defining how scientists will interact with data in the AI era. - Open, Powerful, Python-First – The first fully open-source, endlessly extendable scientific “vibe analysis” framework. - Mixed Programming Magic – Combine Python, natural language, R, or Julia—seamlessly in the same environment. - PhD-Level Assistant – A command-line agent for complex real-world genomics and beyond, handling workflows at the PhD level. - Privacy by Design – Run entirely offline with local LLMs—your data never leaves your computer. ✅ Proven Applications (10 Demonstrations) Computational biology: 1. ATAC-seq: From raw reads to peak matrix 2. RNA-seq: From raw reads to expression matrix 3. Complex single-cell workflows (PhD-level) 4. Hybrid natural language + R for Seurat annotation 5. Learning from web tutorials + invoking single-cell foundation models 6. Cell segmentation on 10x Genomics HD Visium data And beyond: 7. Mixed Python & R programming examples 8. Molecular docking & structural analysis 9. Exploratory factor analysis for behavioral survey data 10. Customer segmentation & finance analytics 🌐 Learn More & Get Started Website: Pantheon-CLI Documentation: GitHub Repo: 💬 Join our community: PantheonOS Slack: PantheonOS Discord:

evo-devo

17,356 görüntüleme • 11 ay önce

Meet MASHA 🤹 – The First AVM-Powered Agent 🪆 We are proud to introduce MASHA, the first autonomous agent powered by the Aither AVM. MASHA is an example of what’s possible in the Aither ecosystem, where you can create your own AI agents through two pathways: 1. No-Code Launchpad: Anyone, even without coding skills, can easily create, launch, and invest in autonomous agents. 2. Developer Path: Developers can use our upcoming open-source GitHub framework to build fully custom agents directly on AVM, leveraging advanced functionality and flexibility. MASHA’s daily live streams showcase her advanced capabilities and demonstrate the future of AI-powered agents. She streams every day for 1 hour at 12:00 UTC. 📍 Stream on X now: MASHA’s Current Capabilities 🔹 Posting on X: Engaging with the community and sharing updates. 🔹 Logs Terminal: Displays real-time AVM code execution—“her brain” in action. 🔹 Live Streaming: • Fully interactive sessions. • Screen Broadcasting: Sharing tasks and workflows in real time. • Comments Replying: Responding dynamically to audience messages. 🔹 Voice Replying with Lip Sync: Converts text responses into synchronized voice outputs. 🔹 Interactive Movement: The world’s first agent capable of fulfilling movement requests—ask her to dance, fight a dragon, or perform other actions. Upcoming Features & Integrations 🔗 Platform Integrations: Expanding to TikTok, Instagram, Telegram, Warpcast. 💼 On-Chain Wallet Management: Secure and autonomous. 🎨 NFT Memory Albums: Store and share interactive moments. 📊 Liquidity Pool Pairing: Advanced financial mechanics for token ecosystems. 🌍 Permissionless Public API Access: Developers can connect their apps to MASHA’s AI power. 💸 Revenue Models: Agents will earn revenue by being active online, influencing communities, playing games, and more. MASHA is just the beginning. With Aither’s No-Code Launchpad, anyone can bring agents like MASHA to life and customize them to their needs. For developers, our upcoming GitHub open-source framework will offer the tools to create advanced, highly tailored agents directly on AVM. This is the future of intelligent AI ecosystems. Whether you’re a creator or a developer, the possibilities are endless. 📍 Join her live stream now:
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Meet MASHA 🤹 – The First AVM-Powered Agent 🪆 We are proud to introduce MASHA, the first autonomous agent powered by the Aither AVM. MASHA is an example of what’s possible in the Aither ecosystem, where you can create your own AI agents through two pathways: 1. No-Code Launchpad: Anyone, even without coding skills, can easily create, launch, and invest in autonomous agents. 2. Developer Path: Developers can use our upcoming open-source GitHub framework to build fully custom agents directly on AVM, leveraging advanced functionality and flexibility. MASHA’s daily live streams showcase her advanced capabilities and demonstrate the future of AI-powered agents. She streams every day for 1 hour at 12:00 UTC. 📍 Stream on X now: MASHA’s Current Capabilities 🔹 Posting on X: Engaging with the community and sharing updates. 🔹 Logs Terminal: Displays real-time AVM code execution—“her brain” in action. 🔹 Live Streaming: • Fully interactive sessions. • Screen Broadcasting: Sharing tasks and workflows in real time. • Comments Replying: Responding dynamically to audience messages. 🔹 Voice Replying with Lip Sync: Converts text responses into synchronized voice outputs. 🔹 Interactive Movement: The world’s first agent capable of fulfilling movement requests—ask her to dance, fight a dragon, or perform other actions. Upcoming Features & Integrations 🔗 Platform Integrations: Expanding to TikTok, Instagram, Telegram, Warpcast. 💼 On-Chain Wallet Management: Secure and autonomous. 🎨 NFT Memory Albums: Store and share interactive moments. 📊 Liquidity Pool Pairing: Advanced financial mechanics for token ecosystems. 🌍 Permissionless Public API Access: Developers can connect their apps to MASHA’s AI power. 💸 Revenue Models: Agents will earn revenue by being active online, influencing communities, playing games, and more. MASHA is just the beginning. With Aither’s No-Code Launchpad, anyone can bring agents like MASHA to life and customize them to their needs. For developers, our upcoming GitHub open-source framework will offer the tools to create advanced, highly tailored agents directly on AVM. This is the future of intelligent AI ecosystems. Whether you’re a creator or a developer, the possibilities are endless. 📍 Join her live stream now:

Aither Protocol

20,096 görüntüleme • 1 yıl önce

Today, we’re pushing a major update to Edison Analysis, our data analysis agent, which is tuned for scientific research and SOTA across data analysis benchmarks. In contrast to Kosmos, which runs for 6-12 hours and produces tens of thousands of lines of code, Edison Analysis runs for seconds to minutes and is best for specific, well-defined computational tasks. It is available both on our platform under the Analysis tab, and via API, and costs only one credit per run, so it is available to users on both free and paid tiers. Edison Analysis is a modified version of the data analysis agent Kosmos uses in its trajectories. Try it out! One of the most important improvements over our previous data analysis agents has been the addition of a specialized data retrieval tool. Edison Analysis can either use this tool to access data, or can pull data down directly via API. To evaluate this tool, we ranked the most commonly used public data repositories across recent papers from BioRxiv, and created a new benchmark that measures the ability of a language agent system to retrieve raw data from those sources. Edison Analysis gets 71% on this benchmark, and we’ll be working to increase this over time. You can read more about our benchmarks in the our blog post, link below. Some features worth highlighting: 1. Edison Analysis produces a report on the analysis it runs, along with a Jupyter notebook that you can download to reproduce the analysis yourself. Every figure it produces is linked back to the specific lines of code used to produce the figure, to make it easy to reproduce. 2. It works well with both Python and R. 3. One of the best uses for Edison Analysis is to use it to retrieve datasets that you can then analyze with Kosmos. We have a bunch of major improvements to Edison Analysis coming in the next few months that we’re excited to share. In the meantime, congratulations to the team, especially Ludovico Mitchener, Jon Laurent, Conor Igoe , Alex Andonian, and many more.
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Today, we’re pushing a major update to Edison Analysis, our data analysis agent, which is tuned for scientific research and SOTA across data analysis benchmarks. In contrast to Kosmos, which runs for 6-12 hours and produces tens of thousands of lines of code, Edison Analysis runs for seconds to minutes and is best for specific, well-defined computational tasks. It is available both on our platform under the Analysis tab, and via API, and costs only one credit per run, so it is available to users on both free and paid tiers. Edison Analysis is a modified version of the data analysis agent Kosmos uses in its trajectories. Try it out! One of the most important improvements over our previous data analysis agents has been the addition of a specialized data retrieval tool. Edison Analysis can either use this tool to access data, or can pull data down directly via API. To evaluate this tool, we ranked the most commonly used public data repositories across recent papers from BioRxiv, and created a new benchmark that measures the ability of a language agent system to retrieve raw data from those sources. Edison Analysis gets 71% on this benchmark, and we’ll be working to increase this over time. You can read more about our benchmarks in the our blog post, link below. Some features worth highlighting: 1. Edison Analysis produces a report on the analysis it runs, along with a Jupyter notebook that you can download to reproduce the analysis yourself. Every figure it produces is linked back to the specific lines of code used to produce the figure, to make it easy to reproduce. 2. It works well with both Python and R. 3. One of the best uses for Edison Analysis is to use it to retrieve datasets that you can then analyze with Kosmos. We have a bunch of major improvements to Edison Analysis coming in the next few months that we’re excited to share. In the meantime, congratulations to the team, especially Ludovico Mitchener, Jon Laurent, Conor Igoe , Alex Andonian, and many more.

Sam Rodriques

61,886 görüntüleme • 8 ay önce

🚀 Today, we are introducing SmolTools! 🚀 Last week, at Hugging Face we made a significant leap forward with the release of SmolLM2, a compact 1.7B language model that sets a new benchmark for performance among models of its size. But beyond the impressive stats, SmolLM2 truly shines in practical, real-world applications, unlocking new possibilities for on-device inference. To demonstrate its potential, we're thrilled to introduce Smol-Tools, a suite of simple yet powerful applications that showcase the capabilities of SmolLM2. 🌟 Today, we present you two key tools: Summarize and Rewrite. 🔹 Summarize: Feed SmolLM2 a text up to 20 pages long, and it will provide you with a concise summary. Need to dig deeper? Just ask follow-up questions to clarify any details – it's that simple. 🔹 Rewrite: Draft a response to a message with your main points, and SmolLM2 will transform it into a clear, polished version that's easy for your recipient to read and understand. These tools are designed to make your workflow smoother and more efficient, leveraging the power of SmolLM2 in practical ways. 💡We hope you give these tools a try and see their potential for yourself! Feel free to build your own SmolTools and contribute them to the project. We'd love to see what you build! Check out the code here:
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🚀 Today, we are introducing SmolTools! 🚀 Last week, at Hugging Face we made a significant leap forward with the release of SmolLM2, a compact 1.7B language model that sets a new benchmark for performance among models of its size. But beyond the impressive stats, SmolLM2 truly shines in practical, real-world applications, unlocking new possibilities for on-device inference. To demonstrate its potential, we're thrilled to introduce Smol-Tools, a suite of simple yet powerful applications that showcase the capabilities of SmolLM2. 🌟 Today, we present you two key tools: Summarize and Rewrite. 🔹 Summarize: Feed SmolLM2 a text up to 20 pages long, and it will provide you with a concise summary. Need to dig deeper? Just ask follow-up questions to clarify any details – it's that simple. 🔹 Rewrite: Draft a response to a message with your main points, and SmolLM2 will transform it into a clear, polished version that's easy for your recipient to read and understand. These tools are designed to make your workflow smoother and more efficient, leveraging the power of SmolLM2 in practical ways. 💡We hope you give these tools a try and see their potential for yourself! Feel free to build your own SmolTools and contribute them to the project. We'd love to see what you build! Check out the code here:

Andi Marafioti

100,813 görüntüleme • 1 yıl önce