Pyro

Deep universal probabilistic programming with Python and PyTorch
Alternatives To Pyro
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Transformers112,723641,8698 hours ago114July 18, 2023869apache-2.0Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Stable Diffusion Webui104,146
13 hours ago2January 17, 20221,529agpl-3.0Python
Stable Diffusion web UI
Pytorch71,2713,3416,72812 hours ago37May 08, 202312,803otherPython
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Keras59,45557814 hours ago80June 27, 202398apache-2.0Python
Deep Learning for humans
Real Time Voice Cloning47,152
8 days ago168otherPython
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Yolov541,958
13 hours ago8September 21, 2021223agpl-3.0Python
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Annotated_deep_learning_paper_implementations36,223112 days ago78September 24, 202227mitJupyter Notebook
🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Made With Ml34,217
5 days ago5May 15, 20194mitJupyter Notebook
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Gfpgan32,185920 days ago11September 20, 2022271otherPython
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Mockingbird30,784
a month ago2February 28, 2022446otherPython
🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
Alternatives To Pyro
Select To Compare


Alternative Project Comparisons
Readme

Build Status Coverage Status Latest Version Documentation Status CII Best Practices

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:

  • Universal: Pyro is a universal PPL - it can represent any computable probability distribution.
  • Scalable: Pyro scales to large data sets with little overhead compared to hand-written code.
  • Minimal: Pyro is agile and maintainable. It is implemented with a small core of powerful, composable abstractions.
  • Flexible: Pyro aims for automation when you want it, control when you need it. This is accomplished through high-level abstractions to express generative and inference models, while allowing experts easy-access to customize inference.

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 and time-to-event modeling in Pyro.

Installing

Installing a stable Pyro release

Install using pip:

pip install pyro-ppl

Install from source:

git clone [email protected]:pyro-ppl/pyro.git
cd pyro
git checkout master  # master is pinned to the latest release
pip install .

Install with extra packages:

To install the dependencies required to run the probabilistic models included in the examples/tutorials directories, please use the following command:

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 branch

For 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 extras dependency to run the probabilistic models included in the examples/tutorials directories:

pip install git+https://github.com/pyro-ppl/pyro.git#egg=project[extras]

Install Pyro from source:

git clone https://github.com/pyro-ppl/pyro
cd pyro
pip install .  # pip install .[extras] for running models in examples/tutorials

Running Pyro from a Docker Container

Refer to the instructions here.

Citation

If 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}
}
Popular Pytorch Projects
Popular Deep Learning Projects
Popular Machine Learning Categories
Related Searches

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Python
Machine Learning
Deep Learning
Deep
Pytorch
Bayesian
Bayesian Inference
Variational Inference
Probabilistic Programming