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开源软件名称:Pyro开源软件地址:https://gitee.com/mirrors/Pyro开源软件介绍:Getting Started |Documentation |Community |Contributing Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch. Notably, it was designed with these principles in mind:
Pyro was originally developed at Uber AI and is now actively maintained by community contributors, including a dedicated team at the Broad Institute.In 2019, Pyro became a project of the Linux Foundation, a neutral space for collaboration on open source software, open standards, open data, and open hardware. For more information about the high level motivation for Pyro, check out our launch blog post.For additional blog posts, check out work on experimental design andtime-to-event modeling in Pyro. InstallingInstalling a stable Pyro releaseInstall using pip: Pyro supports Python 3.6+. pip install pyro-ppl Install from source: git clone [email protected]:pyro-ppl/pyro.gitcd pyrogit checkout master # master is pinned to the latest releasepip install . Install with extra packages: To install the dependencies required to run the probabilistic models included in the pip install pyro-ppl[extras] Make sure that the models come from the same release version of the Pyro source code as you have installed. Installing Pyro dev branchFor recent features you can install Pyro from source. Install Pyro using pip: pip install git+https://github.com/pyro-ppl/pyro.git or, with the pip install git+https://github.com/pyro-ppl/pyro.git#egg=project[extras] Install Pyro from source: git clone https://github.com/pyro-ppl/pyrocd pyropip install . # pip install .[extras] for running models in examples/tutorials Running Pyro from a Docker ContainerRefer to the instructions here. CitationIf you use Pyro, please consider citing: @article{bingham2019pyro, author = {Eli Bingham and Jonathan P. Chen and Martin Jankowiak and Fritz Obermeyer and Neeraj Pradhan and Theofanis Karaletsos and Rohit Singh and Paul A. Szerlip and Paul Horsfall and Noah D. Goodman}, title = {Pyro: Deep Universal Probabilistic Programming}, journal = {J. Mach. Learn. Res.}, volume = {20}, pages = {28:1--28:6}, year = {2019}, url = {http://jmlr.org/papers/v20/18-403.html}} |
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