There are 30 repositories under unsupervised-learning topic.
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
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
A curated list of pretrained sentence and word embedding models
A curated list of community detection research papers with implementations.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Unsupervised Learning for Image Registration
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Algorithms for outlier, adversarial and drift detection
Composable GAN framework with api and user interface
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
A comprehensive list of awesome contrastive self-supervised learning papers.
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
an open-source implementation of sequence-to-sequence based speech processing engine
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Awesome Graph Self-Supervised Learning
[IEEE TIP'2021] "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
Unsupervised Feature Learning via Non-parametric Instance Discrimination
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.