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adaptivator

Adaptive Kalman Filter

adversarial-reweighting-for-partial-domain-adaptation

an-information-theoretic-metric-of-transferability

This repository contains the codes of the experiments in Paper An Information-theoretic Metric of Transferability for Task Transfer Learning

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

artificial-intelligence-terminology-database

A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-few-shot-learning

A review for latest few-shot learning works

awesome-papers-fewshot

Collection for Few-shot Learning

bcdm

[AAAI 2021] Code release for "Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation"

bert-pytorch

Google AI 2018 BERT pytorch implementation

cgdm

Codes for "Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation" in CVPR 2021

class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

dagcn

This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.

dal

Domain agnostic learning with disentangled representations

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

densenet.pytorch

A PyTorch implementation of DenseNet.

domain-generalization

All about domain generalization

domainbed

DomainBed is a suite to test domain generalization algorithms

elm_matlabclass

Fast OOP MATLAB® implementation of Extreme Learning Machines for both regression and binary classification problems.

few-shot-learning

few_shot_distribution_calibration

[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration

fgda

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

gan-for-time-series-in-pytorch

使用GAN对时间序列进行建模

gdcan

[TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339

generalization-causality

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

gnnpapers

Must-read papers on graph neural networks (GNN)