chenwenqiao

adaptive-federated-learning

Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"

AirFogSim

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

ArduSim

Ardusim. Accurate and real-time multi-UAV simulation

automl

Google Brain AutoML

awesome-federated-learning-papers

A collection of research papers on federated learning.

Awesome-Federated-Machine-Learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

awesome-reinforcement-learning-lib

GitHub's code repository is all you need

Balora

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

chenwenqiao/awesome-reinforcement-learning-lib

GitHub's code repository is all you need

chenwenqiao/adaptive-federated-learning

Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"

chenwenqiao/annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

chenwenqiao/ArduSim

Ardusim. Accurate and real-time multi-UAV simulation

chenwenqiao/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

chenwenqiao/CAFeMe

Official code for "Personalized Federated Learning with Contextual Modulation and Meta-Learning"

chenwenqiao/cht_ssh

chenwenqiao/cifar10-fast-simple

Train CIFAR10 to 94% accuracy in a few minutes/seconds. Based on https://github.com/davidcpage/cifar10-fast

chenwenqiao/expert_readed_books

2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，**类，数学类，人物传记书籍

chenwenqiao/Federated-Learning

联邦学习

chenwenqiao/Federated-Learning-in-PyTorch

Handy PyTorch implementation of Federated Learning (for your painless research)

chenwenqiao/FedML

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://nexus.fedml.ai) is the dedicated cloud service for next-gen AI

chenwenqiao/Federated-Learning-summary

Overview of Federal Learning

chenwenqiao/FEDL-INFOCOM

Federated Learning over Wireless Networks

chenwenqiao/FedLab

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

chenwenqiao/FedScale

FedScale is a scalable and extensible open-source federated learning (FL) platform.

chenwenqiao/FedU_FMTL

This repo implements FedU, a multitask learning framework for federated learning

chenwenqiao/FL-bench

Benchmark of federated learning. Dedicated to the community. 🤗

chenwenqiao/FL_Particpant_selection_Based_Fixed_and_dynamic_deadline

These codes are the implementation of our paper entitled "Data-Driven Participant Selection and Bandwidth Allocation for Heterogeneous Federated Edge Learning"

chenwenqiao/FLDRL-in-Wireless-Communication

Apply Deep Reinforcement Learning aided by Federated Learning to Wireless Comunication

chenwenqiao/flower

Flower: A Friendly Federated Learning Framework

chenwenqiao/hlb-CIFAR10

Train to 94% on CIFAR-10 in less than 10 seconds on a single A100, the current world record. Or ~95.77% in ~188 seconds.

chenwenqiao/OpenCommLab

This is the repository for collecting and summarizing open-source datasets and tools for communication networks.

chenwenqiao/Paper-with-Code-of-Wireless-communication-Based-on-DL

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

chenwenqiao/PyDMD

Python Dynamic Mode Decomposition

chenwenqiao/PyEMD

Python implementation of Empirical Mode Decompoisition (EMD) method

chenwenqiao/PyHessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

chenwenqiao/pytorch_federated_learning

PyTorch Federated Learning (easy to use and extend)

chenwenqiao/releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

chenwenqiao/SplitFed-When-Federated-Learning-Meets-Split-Learning

Releasing the source code Version1.