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 reasoning and statistical analysis in TensorFlow
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Bayesian inference with probabilistic programming.
A neurosymbolic perspective on LLMs
High-quality implementations of standard and SOTA methods on a variety of tasks.
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
A simple probabilistic programming language.
Gaussian processes in JAX and Equinox.