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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
FAIR Chemistry's library of machine learning methods for chemistry
| Date | Stars |
|---|---|
| 2026-07-31 | 2205 |
| 2026-08-06 | 2213 |
Today
+8 stars today
This week
— stars this week
This month
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Momentum
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growth rate 0.00%/day
[//]: # (<h1 align="center">) [//]: # () [//]: # (<p align="center">) [//]: # ( <img width="559" height="200" src="https://github.com/user-attachments/assets/25cd752c-3c56-469d-8524-4e493646f6b2"?) [//]: # (</p>) [//]: # () [//]: # (</h1>) <h4 align="center">    [](https://codecov.io/gh/facebookresearch/fairchem) [](https://doi.org/10.5281/zenodo.15587498) [](https://github.com/codespaces/new/facebookresearch/fairchem?quickstart=1) </h4> # `fairchem` by the FAIR Chemistry team `fairchem` is the [FAIR](https://ai.meta.com/research/) Chemistry's centralized repository of all its data, models, demos, and application efforts for materials science and quantum chemistry. > :warning: **FAIRChem version 2 is a breaking change from version 1 and is not compatible with our previous pretrained models and code.** > If you want to use an older model or code from version 1 you will need to install [version 1](https://pypi.org/project/fairchem-core/1.10.0/), > as detailed [here](#looking-for-fairchem-v1-models-and-code). > [!CAUTION] > UMA models and legacy inorganic bulk models trained using OMat24 are trained with DFT and DFT+U total energy labels. > These are not compatible with Materials Project calculations. If you are using UMA or models trained on OMat24 only > for such calculations, you can find a OMat24 specific calculations of reference unary compounds and MP2020-style > anion and GGA/GGA+U mixing corrections in the [OMat24 Hugging Face repo](https://huggingface.co/datasets/facebook/OMAT24). > Do not use MP2020 corrections or use the MP references compounds when using OMat24 trained models. Additional care > must be taken when computing energy differences, such as formation and energy above hull and comparing with calculations > in the Materials Project since DFT pseudopotentials are different and magnetic ground states may differ as well. ## Latest news March 2026 - UMA-1.2 released! ~50% faster, ~40% more accurate on Open Molecules test set, and expanded data coverage for catalysts (oxides and interfaces), molecules, and polymers! Oct 2025 - [check out our seamless Multi-node, Multi-GPU and LAMMPs interfaces to run large scale dynamics!](#multi-gpu-inference-and-lammps) ## Read our latest release post! Read about the [UMA model and OMol25 dataset](https://ai.meta.com/blog/meta-fair-science-new-open-source-releases/) release. [](https://ai.meta.com/blog/meta-fair-science-new-open-source-releases/?ref=shareable) ## Try the demo! If you want to explore model capabilities check out our [educational demo](https://facebook-fairchem-uma-demo.hf.space/) [](https://facebook-fairchem-uma-demo.hf.space/) ## Installation Although not required, we highly recommend installing using a package manager and virtualenv such as [uv](https://docs.astral.sh/uv/getting-started/installation/#standalone-installer), it is much faster and better at resolving dependencies than standalone pip. Install fairchem-core using pip ```bash pip install fairchem-core ``` If you want to contribute or make modifications to the code, clone the repo and install in edit mode ```bash git clone [email protected]:facebookresearch/fairchem.git pip install -e fairchem/packages/fairchem-core[dev] ``` ## Quick Start The easiest way to use pretrained models is via the [ASE](https://wiki.fysik.dtu.dk/ase/) `FAIRCh
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:768036fbad8fc00e, llm:Repository description: 'FAIR Chemistry's library of machine learning methods for chemistry' (facebookresearch/fairchem).
matched fp:768036fbad8fc00e, llm:Repository description: 'FAIR Chemistry's library of machine learning methods for chemistry' (facebookresearch/fairchem).
matched fp:768036fbad8fc00e, llm:Repository description: 'FAIR Chemistry's library of machine learning methods for chemistry' (facebookresearch/fairchem).