Pinned Repositories
-FedWEIT
Addressing-Class-Imbalance-FL
This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).
adversarial-library
Library containing PyTorch implementations of various adversarial attacks and resources
apachecn-dl-zh
ApacheCN 深度学习译文集
awesome-bayesian-statistics
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
breach-privacy-in-federated-learning-scenarios
Breaching privacy in federated learning scenarios for vision and text
comments-for-awesome-courses
名校公开课程评价网
cs61b-sp18
Self-study of CS61B, the CS course (Data Structures, Spring 2018) at UC Berkeley by Josh Hug
cs61b_sp19
Data Structures
CS61BCN
UC Berkeley Data Structures & Algorithms class (Spring 2018)
HqChen2021's Repositories
HqChen2021/adversarial-library
Library containing PyTorch implementations of various adversarial attacks and resources
HqChen2021/apachecn-dl-zh
ApacheCN 深度学习译文集
HqChen2021/DENSE
Official PyTorch implementation of DENSE (NeurIPS 2022)
HqChen2021/DiffMorpher
Official Code for DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing (CVPR 2024)
HqChen2021/DiffQuickFixRelease
HqChen2021/DomainBed
DomainBed is a suite to test domain generalization algorithms
HqChen2021/DualFair
HqChen2021/EasyFL
An easy-to-use federated learning platform
HqChen2021/Example_Influence_CL
HqChen2021/failure-directions
Distilling Model Failures as Directions in Latent Space
HqChen2021/Fed-TDA
The implementation of our paper Fed-TDA
HqChen2021/FedCL_Pubic
HqChen2021/FedDecorr
[ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.00226)
HqChen2021/Federated-AI-research
HqChen2021/FedNTD
(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
HqChen2021/Knowledge-Enriched-DMI
HqChen2021/LLaVA-Align
This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strategy.
HqChen2021/Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
HqChen2021/mammoth
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
HqChen2021/pFedBayes
Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]
HqChen2021/Privacy-preserving-in-FL
HqChen2021/prml-1
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
HqChen2021/pytorch-cifar
95.47% on CIFAR10 with PyTorch
HqChen2021/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
HqChen2021/RepeatedAugmentedRehearsal
HqChen2021/rethinking_er
Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"
HqChen2021/reweight-imbalance-classification-with-OT
optimal transport
HqChen2021/skeleton-sp18
HqChen2021/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
HqChen2021/transfer-fairness
A self-training method for transferring fairness under distribution shifts.