Popular GitHub Repositories for Probabilistic Graphical

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

pix2code: Generating Code from a Graphical User Interface Screenshot

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

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

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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

Probabilistic time series modeling in Python

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

Probabilistic reasoning and statistical analysis in TensorFlow

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

Scalable and user friendly neural :brain: forecasting algorithms.

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

Fast, flexible and easy to use probabilistic modelling in Python.

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

Unsupervised Learning for Image Registration

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