semvec/pypi-packages huggingface dataset:
NetKet 3.21.0
Netket : Machine Learning toolbox for many-body quantum systems.
License: Apache 2.0
Requires Python: >=3.11
Keywords: Jax, Machine Learning, Monte Carlo, Neural Networks, Neural Quantum States, Quantum

<div align="center">
<img src="https://www.netket.org/logo/logo_simple.jpg" alt="logo" width="400"></img>
</div>

# __NetKet__

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NetKet is an open-source project delivering cutting-edge methods for the study of many-body quantum systems with artificial neural networks and machine learning techniques.
It is a Python library built on [JAX](https://github.com/google/jax).

NetKet is an affiliated project to [numFOCUS](https://numfocus.org).

- **Homepage:** <https://www.netket.org>
- **Citing:** <https://www.netket.org/cite/>
- **Documentation:** <https://netket.readthedocs.io/en/latest/index.html>
- **Tutorials:** <https://netket.readthedocs.io/en/latest/tutorials/gs-ising.html>
- **Examples:** <https://github.com/netket/netket/tree/master/Examples>
- **Source code:** <https://github.com/netket/netket>

## Installation and Usage

NetKet runs on MacOS and Linux and requires Python 3.11 or later. We recommend installing NetKet using `pip` or `uv`. **Do not use conda** as JAX has known issues when installed through conda.

```sh
pip install --upgrade pip
pip install netket
```

**With GPU support (Linux only):**
```sh
pip install 'netket[cuda]'
```

**Development version:**
```sh
pip install git+https://github.com/netket/netket.git
```

For detailed installation instructions including GPU setup, see our [installation guide](https://netket.readthedocs.io/en/latest/install.html).

## Getting Started

To get started with NetKet, we recommend you give a look at our [tutorials page](https://netket.readthedocs.io/en/latest/tutorials/gs-ising.html), by running them on your computer or on [Google Colaboratory](https://colab.research.google.com).
There are also many example scripts that you can download, run and edit that showcase some use-cases of NetKet, although they are not commented.

If you want to get in touch with us, feel free to open an issue or a discussion here on GitHub, or to join the MLQuantum slack group where several people involved with NetKet hang out. To join the slack channel just accept [this invitation](https://join.slack.com/t/mlquantum/shared_invite/zt-19wibmfdv-LLRI6i43wrLev6oQX0OfOw)

## License

[Apache License 2.0](https://github.com/netket/netket/blob/master/LICENSE)