AI for science, curated.
A map of methods, datasets, and tools for researchers who want evidence-first AI in the lab, at the bench, and in the field.
Methods
GNNs, PINNs, diffusion, scientific LLMs, research agents
Datasets
Benchmarks, bioactivity, reactions, QM, text corpora
Tools
Software stacks for chemistry, biology, materials
Explore by Topic
Scientific Domains
| Topic | Description |
|---|---|
| Biology | Protein design & structure prediction, drug discovery, single-cell analysis, biological LLMs |
| Chemistry | Cheminformatics, molecular generation, virtual screening, ADMET, retrosynthesis |
| Earth & Climate | Climate modeling, environmental research |
| Materials | Neural network potentials, high-throughput workflows, property prediction |
| Physics | Physics-informed ML, simulation, dynamical systems |
Cross-Cutting
| Topic | Description |
|---|---|
| Foundations | Programming, ML basics, university courses, open textbooks |
| Methods | GNNs, PINNs, neural ODEs, scientific LLMs, research agents |
| Tools | Software ecosystems, awesome lists, installation guides |
Contributing
This is an open resource. See about for contribution guidelines.
Built from 20+ awesome lists including awesome-python-chemistry , awesome-scientific-language-models , awesome-protein-design , and more.