A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
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Updated
Feb 1, 2024
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
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Probabilistic reasoning and statistical analysis in TensorFlow
Deep universal probabilistic programming with Python and PyTorch
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Awesome-pytorch-list 翻译工作进行中......
Probabilistic language based on pattern matching and constraint propagation, 153 examples
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Learn about Machine Learning and Artificial Intelligence
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Bayesian inference with probabilistic programming.
High-quality implementations of standard and SOTA methods on a variety of tasks.
PyStan, the Python interface to Stan
A general-purpose probabilistic programming system with programmable inference
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Probabilistic data structures for processing continuous, unbounded streams.
Documentation and tutorials for the Turing language
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
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