Загрузка видео...

Не удалось загрузить видео

На главную

From paper to project page in one click🚀 AnyCoder 🔥 turns research PDFs into structured, shareable project pages in seconds! Powered by 8 SoTA open models on Hugging Face

AdinaYakup's profile picture

Adina Yakup

14,427 subscribers

21,078 просмотров • 11 месяцев назад •via X (Twitter)

Наука и технологииОбразованиеИскусство
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

🚀 LongCat-Video Now Open-Source: Text/Image-to-Video + Video Continuation in One Model 🏆 Text/Image-to-Video Performance Hits Open-Source SOTA 🎬 Minutes-Long High-Quality Videos: No Color Drift/Quality Loss (Industry-Standout) ⚙ 13.6B Params | Strong Open-Source DiT-Based Unified Multitask Video Base Model ⚡ C2F Pipeline + Block Sparse Attention: 720p/30fps Video in Minutes 🤗 Open-Source Links: GitHub： Hugging Face： Project Page：
0:06

🚀 LongCat-Video Now Open-Source: Text/Image-to-Video + Video Continuation in One Model 🏆 Text/Image-to-Video Performance Hits Open-Source SOTA 🎬 Minutes-Long High-Quality Videos: No Color Drift/Quality Loss (Industry-Standout) ⚙ 13.6B Params | Strong Open-Source DiT-Based Unified Multitask Video Base Model ⚡ C2F Pipeline + Block Sparse Attention: 720p/30fps Video in Minutes 🤗 Open-Source Links: GitHub： Hugging Face： Project Page：

Meituan LongCat

43,748 просмотров • 8 месяцев назад

🔥 New Feature: Multi-View Images in One Click! 🎨 Turn text/image → consistent multi-views (powered by Flux Kontext) → high-accuracy 3D models in seconds! 🚀 Boost your 3D workflow today:
0:57

🔥 New Feature: Multi-View Images in One Click! 🎨 Turn text/image → consistent multi-views (powered by Flux Kontext) → high-accuracy 3D models in seconds! 🚀 Boost your 3D workflow today:

MeshyAI

10,437 просмотров • 1 год назад

We're excited to launch HyperBookLM. The open-source NotebookLM with web-agents. Simply drop URLs, PDFs & Txt files and, - Ask questions across all your sources - Create structured mind maps - Export to slides in one click - Generate audio summaries you can listen to Open-source & Powered by Hyperbrowser.
1:04

We're excited to launch HyperBookLM. The open-source NotebookLM with web-agents. Simply drop URLs, PDFs & Txt files and, - Ask questions across all your sources - Create structured mind maps - Export to slides in one click - Generate audio summaries you can listen to Open-source & Powered by Hyperbrowser.

Hyperbrowser

68,005 просмотров • 7 месяцев назад

Exciting update for AI developers! The Hugging Face Hub is now more natively integrated into Google Cloud Vertex AI Model Garden. Search through thousands of open Generative AI models from Hugging Face models & deploy them with one click to Vertex AI or GKE. 🤯 What's new: 🔎 Browse and search thousands of Hugging Face models directly within the Vertex AI Model Garden and filter based on what is currently trending in the community. 🚀 Accelerate your AI projects by leveraging readily available one-click deploy your model to Vertex AI or Google Kubernetes Engine (GKE). ⭐️ Featuring popular open models from BlackForestLabsAI - Unofficial FLUX.1, AI at Meta Llama 3.1, Mistral AI, Google DeepMind Gemma, and countless others. Get Started:
0:38

Exciting update for AI developers! The Hugging Face Hub is now more natively integrated into Google Cloud Vertex AI Model Garden. Search through thousands of open Generative AI models from Hugging Face models & deploy them with one click to Vertex AI or GKE. 🤯 What's new: 🔎 Browse and search thousands of Hugging Face models directly within the Vertex AI Model Garden and filter based on what is currently trending in the community. 🚀 Accelerate your AI projects by leveraging readily available one-click deploy your model to Vertex AI or Google Kubernetes Engine (GKE). ⭐️ Featuring popular open models from BlackForestLabsAI - Unofficial FLUX.1, AI at Meta Llama 3.1, Mistral AI, Google DeepMind Gemma, and countless others. Get Started:

Philipp Schmid

34,754 просмотров • 1 год назад

New research with Tsinghua University: Spatial-TTT. A framework for streaming visual-based spatial intelligence with test-time training (TTT). Spatial-TTT adapts fast weights to capture and organize spatial evidence from long video streams, enabling models to build structured 3D spatial memory over time. Highlights: 🔹Efficient streaming memory. Fast weights act as compact spatial memory with sublinear memory growth over 7000+ frames and more than 40% lower compute. 🔹Spatial-predictive mechanism. TTT layers with 3D spatiotemporal convolution capture geometric correspondence and temporal continuity. 🔹SOTA results on long-horizon video spatial understanding (VSI-Bench). The paper ranked #1 on Hugging Face Daily Papers on March 13. Project page: GitHub: Paper: Model & Data:
0:47

New research with Tsinghua University: Spatial-TTT. A framework for streaming visual-based spatial intelligence with test-time training (TTT). Spatial-TTT adapts fast weights to capture and organize spatial evidence from long video streams, enabling models to build structured 3D spatial memory over time. Highlights: 🔹Efficient streaming memory. Fast weights act as compact spatial memory with sublinear memory growth over 7000+ frames and more than 40% lower compute. 🔹Spatial-predictive mechanism. TTT layers with 3D spatiotemporal convolution capture geometric correspondence and temporal continuity. 🔹SOTA results on long-horizon video spatial understanding (VSI-Bench). The paper ranked #1 on Hugging Face Daily Papers on March 13. Project page: GitHub: Paper: Model & Data:

Tencent Hy

20,792 просмотров • 4 месяцев назад

🚀 We open-sourced LongLive — interactive, real-time long-video generation. 👥Generates video in real time as users enter text prompts. ⚡️20.7 FPS on a single H100,⏱️up to 240s per clip. 🎬Fine-tunes SOTA short-video models (e.g., Wan) into long-video generators. 🌍One step closer to World Models. All code for training & inference, model weights, demo page, and videos released! Paper: Code: Model: Demo Page: Introduction Video:
3:18

🚀 We open-sourced LongLive — interactive, real-time long-video generation. 👥Generates video in real time as users enter text prompts. ⚡️20.7 FPS on a single H100,⏱️up to 240s per clip. 🎬Fine-tunes SOTA short-video models (e.g., Wan) into long-video generators. 🌍One step closer to World Models. All code for training & inference, model weights, demo page, and videos released! Paper: Code: Model: Demo Page: Introduction Video:

Yukang Chen

11,835 просмотров • 9 месяцев назад

Excited to share that we’re launching today! eliminates the complexity of building LLM apps by enabling users to create a shareable chat interface in one click. Now you can go from from prompt to prototype in seconds.
0:32

Excited to share that we’re launching today! eliminates the complexity of building LLM apps by enabling users to create a shareable chat interface in one click. Now you can go from from prompt to prototype in seconds.

ora studio

56,704 просмотров • 3 лет назад

JUST IN: Inference Providers at Hugging Face Hub Use fal SambaNova Together AI Replicate on Hugging Face to infer gigantic models like DeepSeek R1 from model page or through our client SDKs (Python, JS)/HTTP calls
0:33

JUST IN: Inference Providers at Hugging Face Hub Use fal SambaNova Together AI Replicate on Hugging Face to infer gigantic models like DeepSeek R1 from model page or through our client SDKs (Python, JS)/HTTP calls

merve

36,901 просмотров • 1 год назад

🎉 InstantCharacter is NOW Open-Source! Personalize Any Character with High Consistency One image + text → custom poses, styles & scenes 1️⃣ First framework to balance character consistency, image quality, & open-domain flexibility/generalization 2️⃣ Compatible with Flux, delivering high-fidelity, text-controllable results 3️⃣ Comparable to industry leaders like GPT-4o in precision & adaptability Try it yourself on： 🔗Hugging Face Demo： Dive Deep into InstantCharacter: 🔗Project Page: 🔗Code: 🔗Paper： #TencentHunyuan #HY #InstantCharacter #OpenSource #AI #CharacterCustomization
0:29

🎉 InstantCharacter is NOW Open-Source! Personalize Any Character with High Consistency One image + text → custom poses, styles & scenes 1️⃣ First framework to balance character consistency, image quality, & open-domain flexibility/generalization 2️⃣ Compatible with Flux, delivering high-fidelity, text-controllable results 3️⃣ Comparable to industry leaders like GPT-4o in precision & adaptability Try it yourself on： 🔗Hugging Face Demo： Dive Deep into InstantCharacter: 🔗Project Page: 🔗Code: 🔗Paper： #TencentHunyuan #HY #InstantCharacter #OpenSource #AI #CharacterCustomization

Tencent HY

77,790 просмотров • 1 год назад

Open-source project Soundstorm (AI generated speech from Google Research) is going to give Elevenlabs a run for it's money: The text-to-speech project specializes in dialogue between multiple parties, and is available on Github:
0:20

Open-source project Soundstorm (AI generated speech from Google Research) is going to give Elevenlabs a run for it's money: The text-to-speech project specializes in dialogue between multiple parties, and is available on Github:

AI Breakfast

326,478 просмотров • 3 лет назад

Project DeepWiki Up-to-date documentation you can talk to, for every repo in the world. Think Deep Research for GitHub – powered by Devin. It’s free for open-source, no sign-up! Visit deepwiki com or just swap github → deepwiki on any repo URL:
0:28

Project DeepWiki Up-to-date documentation you can talk to, for every repo in the world. Think Deep Research for GitHub – powered by Devin. It’s free for open-source, no sign-up! Visit deepwiki com or just swap github → deepwiki on any repo URL:

Cognition

981,857 просмотров • 1 год назад

🎥 Frustrated by Sora's credit limits? Still waiting for Veo 2? 🚀 Open-source video DiTs are actually on par. We introduce FastVideo, an open-source stack to support fast video generation for SoTA open models. We have supported Mochi and Hunyuan, 8x faster inference, 720P 5-second video in 62 seconds.
0:25

🎥 Frustrated by Sora's credit limits? Still waiting for Veo 2? 🚀 Open-source video DiTs are actually on par. We introduce FastVideo, an open-source stack to support fast video generation for SoTA open models. We have supported Mochi and Hunyuan, 8x faster inference, 720P 5-second video in 62 seconds.

Hao AI Lab

69,735 просмотров • 1 год назад

Over 10,000 new Surfers have joined in open access! If you’re new, here’s a quick guide from diego 🌊 to get you surfing in under 90 seconds Ready to dive into a project? Head straight to Research Not sure where to begin? Just Ask Your first prompt is where your edge begins
1:28

Over 10,000 new Surfers have joined in open access! If you’re new, here’s a quick guide from diego 🌊 to get you surfing in under 90 seconds Ready to dive into a project? Head straight to Research Not sure where to begin? Just Ask Your first prompt is where your edge begins

Surf

24,118 просмотров • 9 месяцев назад

Apple released FastVLM so I tried vibe coding a video captioning AI app with it took 5 prompts to get a working app in anycoder and deployed it on Hugging Face 85x faster and 3.4x smaller than comparable sized VLMs the deployed app works 100% locally in your browser powered by transformers.js and WebGPU
1:56

Apple released FastVLM so I tried vibe coding a video captioning AI app with it took 5 prompts to get a working app in anycoder and deployed it on Hugging Face 85x faster and 3.4x smaller than comparable sized VLMs the deployed app works 100% locally in your browser powered by transformers.js and WebGPU

AK

42,677 просмотров • 10 месяцев назад

Experience the All-New SciSpace Copilot – Smarter, Faster, Better! 🚀 The latest Copilot upgrade lets you engage with research papers, extracting context-rich, accurate insights instantly. Analyze figures, decode tables, and unlock historical documents with unmatched precision. 🔍 Key Upgrades: ✅ Full-context, AI-powered answers from any research paper ✅ Advanced analysis of figures, tables, and charts ✅ Access to scanned, image-based, and archival papers ✅ Seamless processing of 1000+ pages large, multi-page PDFs Try it out today:
0:56

Experience the All-New SciSpace Copilot – Smarter, Faster, Better! 🚀 The latest Copilot upgrade lets you engage with research papers, extracting context-rich, accurate insights instantly. Analyze figures, decode tables, and unlock historical documents with unmatched precision. 🔍 Key Upgrades: ✅ Full-context, AI-powered answers from any research paper ✅ Advanced analysis of figures, tables, and charts ✅ Access to scanned, image-based, and archival papers ✅ Seamless processing of 1000+ pages large, multi-page PDFs Try it out today:

SciSpace

300,390 просмотров • 1 год назад

Today, we are open-sourcing Hunyuan World 1.1 (WorldMirror), a universal feed-forward 3D reconstruction model. 🚀🚀🚀 While our previously released Hunyuan World 1.0 (open-sourced, lite version deployable on consumer GPUs) focused on generating 3D worlds from text or single-view images, Hunyuan World 1.1 significantly expands the input scope by unlocking video-to-3D and multi-view-to-3D world creation. Highlights: 🔹Any Input, Maximized Flexibility and Fidelity: Flexibly integrates diverse geometric priors (camera poses, intrinsics, depth maps) to resolve structural ambiguities and ensure geometrically consistent 3D outputs. 🔹Any Output, SOTA Results：This elegant architecture simultaneously generates multiple 3D representations: dense point clouds, multi-view depth maps, camera parameters, surface normals, and 3D Gaussian Splattings. 🔹Single-GPU & Fast Inference: As an all-in-one, feed-forward model, Hunyuan World 1.1 runs on a single GPU and delivers all 3D attributes in a single forward pass, within seconds. 🌐Project Page: 🔗Github： 🤗Hugging Face： ✨Demo: 📄Technical Report:
1:20

Today, we are open-sourcing Hunyuan World 1.1 (WorldMirror), a universal feed-forward 3D reconstruction model. 🚀🚀🚀 While our previously released Hunyuan World 1.0 (open-sourced, lite version deployable on consumer GPUs) focused on generating 3D worlds from text or single-view images, Hunyuan World 1.1 significantly expands the input scope by unlocking video-to-3D and multi-view-to-3D world creation. Highlights: 🔹Any Input, Maximized Flexibility and Fidelity: Flexibly integrates diverse geometric priors (camera poses, intrinsics, depth maps) to resolve structural ambiguities and ensure geometrically consistent 3D outputs. 🔹Any Output, SOTA Results：This elegant architecture simultaneously generates multiple 3D representations: dense point clouds, multi-view depth maps, camera parameters, surface normals, and 3D Gaussian Splattings. 🔹Single-GPU & Fast Inference: As an all-in-one, feed-forward model, Hunyuan World 1.1 runs on a single GPU and delivers all 3D attributes in a single forward pass, within seconds. 🌐Project Page: 🔗Github： 🤗Hugging Face： ✨Demo: 📄Technical Report:

Tencent Hy

168,451 просмотров • 8 месяцев назад

New AI research from Meta – CoTracker3 Simpler and Better Point Tracking by Pseudo-Labelling Real Videos. More details ➡️ Demo on Hugging Face ➡️ Building on our previous work on CoTracker, this new model demonstrates impressive tracking results where points can be tracked for a long time even when they're occluded or leave the field of view. CoTracker3 achieves state-of-the-art, outperforming all recent point tracking approaches on standard benchmarks — often by a substantial margin. We've released the research paper, code and a demo on Hugging Face — along with models available under an A-NC license to support further research in this space.
0:27

New AI research from Meta – CoTracker3 Simpler and Better Point Tracking by Pseudo-Labelling Real Videos. More details ➡️ Demo on Hugging Face ➡️ Building on our previous work on CoTracker, this new model demonstrates impressive tracking results where points can be tracked for a long time even when they're occluded or leave the field of view. CoTracker3 achieves state-of-the-art, outperforming all recent point tracking approaches on standard benchmarks — often by a substantial margin. We've released the research paper, code and a demo on Hugging Face — along with models available under an A-NC license to support further research in this space.

AI at Meta

218,942 просмотров • 1 год назад

The Visitors, made with Veo 3. Humans react to alien visitors. This mini project was completed in 8 hours, from start to finish, by one single person. [🎞️ hashem.alghaili]
2:59

The Visitors, made with Veo 3. Humans react to alien visitors. This mini project was completed in 8 hours, from start to finish, by one single person. [🎞️ hashem.alghaili]

Massimo

113,129 просмотров • 1 год назад