Popular GitHub Repositories for Approximate 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 ;)

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database?.

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

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

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

Postgres with GPUs for ML/AI apps.

Statistical Machine Intelligence & Learning Engine

? Online machine learning in Python

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

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. ?