A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Bayesian Modeling and Probabilistic Programming in Python

Deep universal probabilistic programming with Python and PyTorch

Probabilistic language based on pattern matching and constraint propagation, 153 examples

Python code for "Probabilistic Machine learning" book by Kevin Murphy

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Probabilistic reasoning and statistical analysis in TensorFlow

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Bayesian inference with probabilistic programming.

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

A general-purpose probabilistic programming system with programmable inference

Awesome-pytorch-list 翻译工作进行中......

Probabilistic data structures for processing continuous, unbounded streams.

High-quality implementations of standard and SOTA methods on a variety of tasks.

BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.

PyStan, the Python interface to Stan

Learn about Machine Learning and Artificial Intelligence

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

Algorithm is a library of tools that is used to create intelligent applications.