Repository Index

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 ;)

• bayesian-methods
• pymc
• mathematical-analysis
• jupyter-notebook

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

• pytorch
• python
• machine-learning
• deep-learning

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

• machine-learning
• deep-learning
• deep-neural-networks
• pattern-recognition

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

• artificial-intelligence
• deep-learning
• generative-model
• score-matching

TranslatedMy continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides), with video links

Bayesian Modeling and Probabilistic Programming in Python

• python
• statistical-analysis
• bayesian-inference
• mcmc

Deep universal probabilistic programming with Python and PyTorch

• python
• pytorch
• machine-learning
• bayesian

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

• algorithms
• csharp
• gamedev
• language

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

• jupyter-notebooks
• machine-learning
• colab
• pml

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Denoising Diffusion Probabilistic Models

Probabilistic time series modeling in Python

• time-series
• deep-learning
• forecasting
• neural-networks

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

• bayesian-methods
• deep-learning
• machine-learning
• data-science

Probabilistic reasoning and statistical analysis in TensorFlow

• tensorflow
• bayesian-methods
• deep-learning
• machine-learning

Scalable and user friendly neural :brain: forecasting algorithms.

• deep-learning
• forecasting
• esrnn
• nbeats

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

• pytorch
• diffusion-probabilistic
• super-resolution
• ddpm

Release for Improved Denoising Diffusion Probabilistic Models

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

• python
• machine-learning
• probabilistic-graphical-models
• pytorch

Python Toolkit for Causal and Probabilistic Reasoning

• python
• bayesian-networks
• causal-inference
• causal-discovery

LibRec: A Leading Java Library for Recommender Systems, see

• recommender-systems
• recommendation-algorithms
• collaborative-filtering
• matrix-factorization

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

• pyro
• jax
• hmc
• inference-algorithms

Unsupervised Learning for Image Registration

• image-registration
• image-alignment
• machine-learning
• deep-learning

Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends

• record-linkage
• spark
• em-algorithm
• deduplication

An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.