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width=\"400\"\u003e\u003c/img\u003e\n\u003c/div\u003e\n\n# __NetKet__\n\n[![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat\u0026colorA=E1523D\u0026colorB=007D8A)](https://numfocus.org)\n[![Release](https://img.shields.io/github/release/netket/netket.svg)](https://github.com/netket/netket/releases)\n[![Paper (v3)](https://img.shields.io/badge/paper%20%28v3%29-arXiv%3A2112.10526-B31B1B)](https://scipost.org/SciPostPhysCodeb.7/pdf)\n[![codecov](https://codecov.io/gh/netket/netket/branch/master/graph/badge.svg?token=gzcOlpO5lB)](https://codecov.io/gh/netket/netket)\n[![Slack](https://img.shields.io/badge/slack-chat-green.svg)](https://join.slack.com/t/mlquantum/shared_invite/zt-19wibmfdv-LLRI6i43wrLev6oQX0OfOw)\n\nNetKet 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.\nIt is a Python library built on [JAX](https://github.com/google/jax).\n\nNetKet is an affiliated project to [numFOCUS](https://numfocus.org).\n\n- **Homepage:** \u003chttps://www.netket.org\u003e\n- **Citing:** \u003chttps://www.netket.org/cite/\u003e\n- **Documentation:** \u003chttps://netket.readthedocs.io/en/latest/index.html\u003e\n- **Tutorials:** \u003chttps://netket.readthedocs.io/en/latest/tutorials/gs-ising.html\u003e\n- **Examples:** \u003chttps://github.com/netket/netket/tree/master/Examples\u003e\n- **Source code:** \u003chttps://github.com/netket/netket\u003e\n\n## Installation and Usage\n\nNetKet 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.\n\n```sh\npip install --upgrade pip\npip install netket\n```\n\n**With GPU support (Linux only):**\n```sh\npip install 'netket[cuda]'\n```\n\n**Development version:**\n```sh\npip install git+https://github.com/netket/netket.git\n```\n\nFor detailed installation instructions including GPU setup, see our [installation guide](https://netket.readthedocs.io/en/latest/install.html).\n\n## Getting Started\n\nTo 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).\nThere are also many example scripts that you can download, run and edit that showcase some use-cases of NetKet, although they are not commented.\n\nIf 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)\n\n## License\n\n[Apache License 2.0](https://github.com/netket/netket/blob/master/LICENSE)\n","funding_links":[],"categories":["Quantum Software Packages","Python","Libraries"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnetket%2Fnetket","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnetket%2Fnetket","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnetket%2Fnetket/lists"}