There are 44 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
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
A curated list of community detection research papers with implementations.
Unsupervised Learning for Image Registration
A curated list of pretrained sentence and word embedding models
Algorithms for outlier, adversarial and drift detection
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
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]
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
A comprehensive list of awesome contrastive self-supervised learning papers.
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
A machine learning library for detecting anomalies in signals.
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
an open-source implementation of sequence-to-sequence based speech processing engine
[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
The official implementation of IJCV & BMVC 2022 paper "One-Pot Multi-frame Denoising".
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs