unsupervised-learning

100-Days-Of-ML-Code中文版

VIP cheatsheets for Stanford's CS 229 Machine Learning

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

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

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

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.

Unsupervised Learning for Image Registration

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

A curated list of community detection research papers with implementations.

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

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

speech to text with self-supervised learning based on wav2vec 2.0 framework

Language Models Can See: Plugging Visual Controls in Text Generation

An implementation of masked language modeling for Pytorch, made as concise and simple as possible

[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

Neural Relation Understanding: neural cardinality estimators for tabular data

TCyb 2018: Graph learning for multiview clustering