PyPI 官网下载 | jax_unirep-2.0.2.tar.gz

[](https://travis-ci.com/ElArkk/jax-unirep) [](https://codecov.io/gh/ElArkk/jax-unirep) [](https://github.com/psf/black) # jax-unirep A performant reimplementation of the UniRep protein featurization model in JAX. The UniRep model was developed in George Church's lab, see the original publication [here][arxiv] (bioRxiv) or [here][nature] (Nature Methods), as well as the [repository][repo] containing the original model. This repo is a self-contained and easily customizable version of the UniRep model, with additional utility APIs that support protein engineering workflows. ## Installation Ensure that your compute environment allows you to run JAX code. (A modern Linux or macOS with a GLIBC>=2.23 is probably necessary.) Then, you can install from PyPI: ```bash pip install jax-unirep ``` If you want the latest and greatest, you can install directly from source: ```bash pip install git+https://github.com/ElArkk/jax-unirep.git ``` ## More Details Documentation on how to use `jax-unirep` is available [here][docs]. We highly encourage community contributions to this project! For more information, see the section in the docs on our [contributing][cont] guidelines. To read more about how we reimplemented the model in JAX, check out our preprint on [bioarxiv]. ## License All the model weights are licensed under the terms of Creative Commons Attribution-NonCommercial 4.0 International License. To view a copy of this license, visit [here][cc]) or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA. Otherwise the code in this repository is licensed under the terms of [GPL v3][gpl3]. [arxiv]: https://www.biorxiv.org/content/10.1101/589333v1 [nature]: https://www.nature.com/articles/s41592-019-0598-1 [repo]: https://github.com/churchlab/UniRep [ericmjl]: https://github.com/ericmjl [fundl]: https://github.com/ericmjl/fundl [gpl3]: https://www.gnu.org/licenses/gpl-3.0.html [evotunefunc]: https://github.com/ElArkk/jax-unirep/blob/master/jax_unirep/evotuning.py#L421 [fitfunc]: https://github.com/ElArkk/jax-unirep/blob/master/jax_unirep/evotuning.py#L163 [examples]: https://github.com/ElArkk/jax-unirep/blob/master/examples [stax]: https://jax.readthedocs.io/en/latest/jax.experimental.stax.html [staxex]: https://github.com/google/jax/tree/master/examples [docs]: https://elarkk.github.io/jax-unirep/ [cont]: https://elarkk.github.io/jax-unirep/contributing/ [it]: https://github.com/ElArkk/jax-unirep/issues [bioarxiv]: https://www.biorxiv.org/content/10.1101/2020.05.11.088344v1 [cc]: http://creativecommons.org/licenses/by-nc/4.0/