deep-INFOMAX

VIP cheatsheets for Stanford's CS 229 Machine Learning

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

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Anomaly detection related books, papers, videos, and toolboxes

Setup and customize deep learning environment in seconds.

A flexible framework of neural networks for deep learning

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

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

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