probabilistic-programming

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

Deep universal probabilistic programming with Python and PyTorch

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTensor

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

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

Bayesian inference with probabilistic programming.

A general-purpose probabilistic programming system with programmable inference

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

Awesome-pytorch-list 翻译工作进行中......

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

Probabilistic data structures for processing continuous, unbounded streams.

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

PyStan, the Python interface to Stan

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

Learn about Machine Learning and Artificial Intelligence

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

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code