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https://github.com/facebookresearch/neuroai

Python suite for neuroscience research across all modalities.
https://github.com/facebookresearch/neuroai

deep-learning neuroscience

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Python suite for neuroscience research across all modalities.

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README

          


Neuro AI


made easy


CI
Documentation
License: MIT
Python 3.12+

---

See the [full documentation](https://facebookresearch.github.io/neuroai/) for interactive quickstarts, step-by-step tutorials, and the complete API reference.

---

## Packages

### [NeuralSet](https://facebookresearch.github.io/neuroai/neuralset/index.html)

Build your efficient Neuro AI data loader.

```bash
pip install neuralset
```

### [NeuralFetch](https://facebookresearch.github.io/neuroai/neuralfetch/index.html)

Fetch curated Neuro AI datasets.

```bash
pip install neuralfetch
```

### [NeuralTrain](https://facebookresearch.github.io/neuroai/neuraltrain/index.html)

Train Neuro AI models at scale.

```bash
pip install neuraltrain
```

### [NeuralBench](https://facebookresearch.github.io/neuroai/neuralbench/index.html)

Unified benchmark for NeuroAI models.

```bash
pip install neuralbench
```

---

## Related projects

- **[exca](https://facebookresearch.github.io/exca/)** — Execution & caching framework powering neuroai's backbone

---

## License

This project is licensed under the [MIT License](LICENSE).

References to third-party content are subject to their own licenses.

---

## Citation

If you use `neuroai` in your research, please cite [NeuralSet: A High-Performing Python Package for Neuro-AI](https://kingjr.github.io/files/neuralset.pdf):

```bibtex
@article{king2026neuralset,
title = {NeuralSet: A High-Performing Python Package for Neuro-AI},
author = {King, J-R. and Bel, C. and Evanson, L. and Gadonneix, J. and Houhamdi, S. and L{\'e}vy, J. and Raugel, J. and Santos Revilla, A. and Zhang, M. and Bonnaire, J. and Caucheteux, C. and D{\'e}fossez, A. and Desbordes, T. and Diego-Sim{\'o}n, P. and Khanna, S. and Millet, J. and Orhan, P. and Panchavati, S. and Ratouchniak, A. and Thual, A. and Brooks, T. and Begany, K. and Benchetrit, Y. and Careil, M. and Banville, H. and d'Ascoli, S. and Dahan, S. and Rapin, J.},
year = {2026},
url = {https://kingjr.github.io/files/neuralset.pdf},
note = {Preprint; URL will be updated when the paper lands on arXiv}
}
```