Popular GitHub Repositories for Probability Statistics

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!!

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Statistical Machine Intelligence & Learning Engine

? Online machine learning in Python

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2025 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

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

Probabilistic reasoning and statistical analysis in TensorFlow

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

An open-source data logging library for machine learning models and data pipelines. ? Provides visibility into data quality & model performance over time. ?️ Supports privacy-preserving data collection, ensuring safety & robustness. ?

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Bayesian inference with probabilistic programming.