There are 56 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.
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
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
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
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 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
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
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SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
Unsupervised time series anomaly detection library
A comprehensive list of awesome contrastive self-supervised learning papers.
(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)
The official implementation of IJCV & BMVC 2022 paper "One-Pot Multi-frame Denoising".
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
[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
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
an open-source implementation of sequence-to-sequence based speech processing engine