Gorgeous's repositories
Adaptive-VFL-Tensorflow
Code for Paper "Adaptive Vertical Federated Learning on Unbalanced Features"
Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
distributed-learning-with-MPI
This is a sample code for FL and decentralized training with OpenMPI and Python
FedMD
FedMD: Heterogenous Federated Learning via Model Distillation
FedML
(PyTorch > 1.0) A Research-Oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation
firstproject
C++
Keras-GAN
Keras implementations of Generative Adversarial Networks.
PFL-Non-IID
The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage of the Non-IID data to learn the personalized model for each user. Thanks to @Stonesjtu, this platform can also record the GPU memory usage for the model.
PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
zhangjie.github.io
Jie's page