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Introducing Open Science Index What if every open source science tool, AI model, dataset, and workflow across biology, chemistry, physics, materials science, and earth science lived together in one searchable place? That's the idea behind Open Science Index. Scientific tooling is exploding, and keeping up with what exists, and...

21,017 次观看 • 1 个月前 •via X (Twitter)

15 条评论

Erhan Ünal 🐂 的头像
Erhan Ünal 🐂1 个月前

👏👏👏

Bio Protocol 的头像
Bio Protocol1 个月前

🫡

Bio Protocol 的头像
Bio Protocol1 个月前

Try Open Science now: Blog:

Bio Protocol 的头像
Bio Protocol1 个月前

Read the full blog:

RheumAI 的头像
RheumAI1 个月前

Nice! 👏👏

Alpcag.Eth📊 的头像
Alpcag.Eth📊1 个月前

🥳⛩️ LFG

rnd.vibes 的头像
rnd.vibes1 个月前

How about basement research projects that have credible data sets, but overlooked by the mainstream. such as the boy from Japan who discovered that caterpillars pass down memories to their offspring

Aliya WEB 3 的头像
Aliya WEB 31 个月前

This is much needed. Scientific tooling is so fragmented. Having health signals + alternatives in one place is huge for researchers.

Usman kabir 的头像
Usman kabir1 个月前

This is much needed. Scientific tooling is so fragmented. Having health signals + alternatives in one place is huge for researchers.

IronRed | SandHive 的头像
IronRed | SandHive1 个月前

Wow what an index!

dOrg 的头像
dOrg1 个月前

good start. the maintenance-status signal is the part tool directories skip, and it's the one that matters!

EPISTEME 的头像
EPISTEME1 个月前

great!

lee 的头像
lee1 个月前

댓글알바들 많네

HERO 的头像
HERO1 个月前

Lets go up

lee 的头像
lee1 个月前

또 거짓말하는거야 속지마

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🤗🤗🤗introducing Hugging Science -- the home of AI for science 🤗🤗🤗 open models and datasets are the powerhouse of science (see the PDB), but finding the models and data you actually need for your breakthrough is hard af you shouldn't need to scrape arxiv, own your own wetlab, fight a custom HDF5 parser, build a fusion stellarator, and beg for compute before you've trained a single epoch so we're changing that we've put all the best science on Hugging Face in one place: - 78GB of genomics data - 11TB of PDE simulations - 100M cell profiles - 9T DNA base pairs - 13M molecular trajectories - 400k medical QA pairs and much more, all open, and all ready for training (+ you can also now filter and search by domain, task, and keyword) we've put together all the biggest releases from our partners at NASA, Google, OpenAI, Meta FAIR, Arc Institute, Ginkgo, SandboxAQ, Proxima Fusion, NVIDIA, Ai2, OpenADMET, InstaDeep, Future House, Polymathic AI, LeMaterial, Earth Species Project, Merck, and Eve Bio if you're not sure where you fit in -- work on open challenges for problems that matter: including fusion stellarator design, ADMET, antibody developability, multilingual medicine, catalysis and materials, and scientific reasoning. we're already changing how science gets done: a fusion startup needed a benchmark for stellarator plasma confinement that didn't exist. Proxima Fusion shipped ConStellaration on Hugging Science: a leaderboard, dataset, and eval metrics, all in one place. a drug discovery team wanted to predict hPXR induction. OpenADMET put up a blind challenge: 11,000+ compounds assayed at Octant, 513 held out, two tracks (pEC50 + structure). Anyone in the world can train and submit. an antibody team at Ginkgo Bioworks released GDPa1, a developability dataset for stability, manufacturability, and immunogenicity prediction, with a live leaderboard scoring every submission. if you know a problem the ML community should be working on, let us know. make a challenge! this is about putting all the tools for solving science in one place. so we can hillclimb! →

Georgia Channing

226,516 次观看 • 6 个月前