Learn2Ln

Domain-Adaptive-CodeBase

This is a magical domain adaptive code base, which contains the implementation code of various algorithms.

pumpkin-book

《机器学习》（西瓜书）公式详解

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

M-ADA

The Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)

PaperWriting

PyContrast

PyTorch implementation of Contrastive Learning methods

Mixup_for_UDA

Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).

Adversarial-Continual-Learning

Implementation for the paper "Adversarial Continual Learning" in PyTorch.

MutualNet

[ECCV'20 Oral] MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

Domain-generalization

All about domain generalization

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

MLOT

This is the repository to reproduce the experiments of the IJCAI 2020 paper "Metric Learning in Optimal Transport for Domain Adaptation"

Dassl.pytorch

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

deep-graph-matching-consensus

Implementation of "Deep Graph Matching Consensus" in PyTorch

vrada

Variational Adversarial Deep Domain Adaptation implementation (TensorFlow 1.x)

discriminator-confidence

Source code for "Multi-Purposing Domain Adaptation Discriminators for Pseudo Labeling Confidence" (AdvML at KDD 2019)

domain_adaptation

this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wustl.edu/mlpapers/paper_files/icml2015_ganin15.pdf).And i realized it on mnist.

pytorch-domain-adaptation

A collection of implementations of adversarial domain adaptation algorithms