Загрузка видео...

Не удалось загрузить видео

На главную

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 просмотров • 1 месяц назад •via X (Twitter)

Комментарии: 15

Фото профиля Erhan Ünal 🐂
Erhan Ünal 🐂1 месяц назад

👏👏👏

Фото профиля Bio Protocol
Bio Protocol1 месяц назад

🫡

Фото профиля Bio Protocol
Bio Protocol1 месяц назад

Try Open Science now: Blog:

Фото профиля Bio Protocol
Bio Protocol1 месяц назад

Read the full blog:

Фото профиля RheumAI
RheumAI1 месяц назад

Nice! 👏👏

Фото профиля Alpcag.Eth📊
Alpcag.Eth📊1 месяц назад

🥳⛩️ LFG

Фото профиля rnd.vibes
rnd.vibes1 месяц назад

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

Фото профиля Aliya WEB 3
Aliya WEB 31 месяц назад

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

Фото профиля Usman kabir
Usman kabir1 месяц назад

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

Фото профиля IronRed | SandHive
IronRed | SandHive1 месяц назад

Wow what an index!

Фото профиля dOrg
dOrg1 месяц назад

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

Фото профиля EPISTEME
EPISTEME1 месяц назад

great!

Фото профиля lee
lee1 месяц назад

댓글알바들 많네

Фото профиля HERO
HERO1 месяц назад

Lets go up

Фото профиля lee
lee1 месяц назад

또 거짓말하는거야 속지마

Похожие видео

🤗🤗🤗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 просмотров • 6 месяцев назад