Popular GitHub Repositories for Clustering Methods

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 ;)

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

An open-source, low-code machine learning library in Python

? LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Postgres with GPUs for ML/AI apps.

A curated list of awesome self-supervised methods

Code for Tensorflow Machine Learning Cookbook

Statistical Machine Intelligence & Learning Engine

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

A collection of important graph embedding, classification and representation learning papers with implementations.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Probabilistic reasoning and statistical analysis in TensorFlow

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

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.

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

The machine learning toolkit for time series analysis in Python

Text preprocessing, representation and visualization from zero to hero.

Learning in infinite dimension with neural operators.