<div align="center">
<img src="https://www.netket.org/logo/logo_simple.jpg" alt="logo" width="400"></img>
</div>
# __NetKet__
[](https://numfocus.org)
[](https://github.com/netket/netket/releases)
[](https://scipost.org/SciPostPhysCodeb.7/pdf)
[](https://codecov.io/gh/netket/netket)
[](https://join.slack.com/t/mlquantum/shared_invite/zt-19wibmfdv-LLRI6i43wrLev6oQX0OfOw)
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)
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