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

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Anomaly detection related books, papers, videos, and toolboxes

A library of extension and helper modules for Python's data analysis and machine learning libraries.

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Unsupervised Learning for Image Registration

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)

🔴 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

Composable GAN framework with api and user interface

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

The official implementation of IJCV & BMVC 2022 paper "One-Pot Multi-frame Denoising".

Unsupervised time series anomaly detection library

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

[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