PCLNet

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

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.

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Unsupervised Learning for Image Registration

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

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