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/awesome-bayesian-statistics
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
HqChen2021/comments-for-awesome-courses
名校公开课程评价网
HqChen2021/cs61b-sp18
Self-study of CS61B, the CS course (Data Structures, Spring 2018) at UC Berkeley by Josh Hug
HqChen2021/cs61b_sp19
Data Structures
HqChen2021/CS61BCN
UC Berkeley Data Structures & Algorithms class (Spring 2018)
HqChen2021/Data-Free_Network_Quantization_With_Adversarial_Knowledge_Distillation
Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch
HqChen2021/DeepLearning
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
HqChen2021/Feature-Generating-Networks
Zero Shot Learning with Feature Generating Networks
HqChen2021/fedaux
FEDAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning
HqChen2021/Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
HqChen2021/FixMatch-pytorch
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
HqChen2021/flsim
inherit from https://github.com/iqua/flsim
HqChen2021/imgaug
Image augmentation for machine learning experiments.
HqChen2021/improved-gan
Code for the paper "Improved Techniques for Training GANs"
HqChen2021/LisGAN
LisGAN, Leveraging the Invariant Side of Generative Zero-Shot Learning, CVPR 2019
HqChen2021/machine-learning-diff-private-federated-learning
Simulate a federated setting and run differentially private federated learning.
HqChen2021/MetaMix
MetaMix for ICML 2021
HqChen2021/model_sharing_games
Supporting code for https://arxiv.org/abs/2010.00753.
HqChen2021/ncsn
Noise Conditional Score Networks (NeurIPS 2019, Oral)
HqChen2021/pFedHN
Official code implementation for "Personalized Federated Learning using Hypernetworks"
HqChen2021/PRML
PRML algorithms implemented in Python
HqChen2021/Proto_DA
HqChen2021/PrototypeDL-pytorch
HqChen2021/pyvacy
Differentially Private Optimization for PyTorch 👁🙅♀️
HqChen2021/Semi-supervised-Federated-Learning-with-non-IID-Data-Algorithm-and-System-Design
GlobeCom21: Semi-supervised Federated Learning with non-IID Data: Algorithm and System Design
HqChen2021/structure_knowledge_distillation
The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.
HqChen2021/su20-lab-starter
HqChen2021/wasserstein_fairness
An implementation of Wasserstein Fair Classification, a conference paper submitted to UAI 2019.
HqChen2021/YatSenOS-Tutorial-Volume-1
A Simple 32-bit OS lab tutorial.
HqChen2021/ZeroShotKnowledgeTransfer_Toy-example
Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"