Jiachen Kuang's Projects
Adaptive Kalman Filter
This repository contains the codes of the experiments in Paper An Information-theoretic Metric of Transferability for Task Transfer Learning
Anomaly detection related books, papers, videos, and toolboxes
A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain
A PyTorch implementation of the Transformer model in "Attention is All You Need".
A collection of AWESOME things about domian adaptation
A review for latest few-shot learning works
Collection for Few-shot Learning
[AAAI 2021] Code release for "Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation"
Google AI 2018 BERT pytorch implementation
Codes for "Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation" in CVPR 2021
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.
Domain agnostic learning with disentangled representations
A collection of implementations of deep domain adaptation algorithms
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
A PyTorch implementation of DenseNet.
All about domain generalization
DomainBed is a suite to test domain generalization algorithms
Fast OOP MATLAB® implementation of Extreme Learning Machines for both regression and binary classification problems.
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
使用GAN对时间序列进行建模
[TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
Must-read papers on graph neural networks (GNN)