Recursive-Cascaded-Networks

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.

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.

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

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Unsupervised Learning for Image Registration