contrastive-ring-public

VIP cheatsheets for Stanford's CS 229 Machine Learning

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Anomaly detection related books, papers, videos, and toolboxes

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

A python library for self-supervised learning on images.

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Unsupervised Learning for Image Registration

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)