Popular GitHub Repositories for Unsupervised

VIP cheatsheets for Stanford's CS 229 Machine Learning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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

Unsupervised text tokenizer for Neural Network-based text generation.

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Anomaly detection related books, papers, videos, and toolboxes

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

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.

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Multimodal Unsupervised Image-to-Image Translation

文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法

Unsupervised Learning for Image Registration

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

Algorithms for outlier, adversarial and drift detection

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

A curated list of pretrained sentence and word embedding models

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Unsupervised Data Augmentation (UDA)