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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 görüntüleme • 1 ay önce •via X (Twitter)

15 Yorum

Erhan Ünal 🐂 profil fotoğrafı
Erhan Ünal 🐂1 ay önce

👏👏👏

Bio Protocol profil fotoğrafı
Bio Protocol1 ay önce

🫡

Bio Protocol profil fotoğrafı
Bio Protocol1 ay önce

Try Open Science now: Blog:

Bio Protocol profil fotoğrafı
Bio Protocol1 ay önce

Read the full blog:

RheumAI profil fotoğrafı
RheumAI1 ay önce

Nice! 👏👏

Alpcag.Eth📊 profil fotoğrafı
Alpcag.Eth📊1 ay önce

🥳⛩️ LFG

rnd.vibes profil fotoğrafı
rnd.vibes1 ay önce

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 profil fotoğrafı
Aliya WEB 31 ay önce

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

Usman kabir profil fotoğrafı
Usman kabir1 ay önce

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

IronRed | SandHive profil fotoğrafı
IronRed | SandHive1 ay önce

Wow what an index!

dOrg profil fotoğrafı
dOrg1 ay önce

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

EPISTEME profil fotoğrafı
EPISTEME1 ay önce

great!

lee profil fotoğrafı
lee1 ay önce

댓글알바들 많네

HERO profil fotoğrafı
HERO1 ay önce

Lets go up

lee profil fotoğrafı
lee1 ay önce

또 거짓말하는거야 속지마

Benzer Videolar

🤗🤗🤗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 görüntüleme • 6 ay önce