There are 38 repositories under unsupervised-learning topic.
100-Days-Of-ML-Code中文版
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.
Anomaly detection related books, papers, videos, and toolboxes
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
A library of extension and helper modules for Python's data analysis and machine learning libraries.
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
A curated list of community detection research papers with implementations.
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)
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Unsupervised Learning for Image Registration
Algorithms for outlier, adversarial and drift detection
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Awesome Graph Self-Supervised Learning
A comprehensive list of awesome contrastive self-supervised learning papers.
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
an open-source implementation of sequence-to-sequence based speech processing engine
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
A machine learning library for detecting anomalies in signals.
[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang