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accelerated-federated-learning-over-mac-in-heterogeneous-networks

SCAFFOLD and FedAvg implementation

baoyan-blog

buaa-cs-codes

北京航空航天大学计算机学院研究生考试复试上机部分往年试题及解答

dgcnn

emnist-pytorch

Handwritten character recognition using Pytorch and EMNIST

federated

A collection of Google research projects related to Federated Learning and Federated Analytics.

federated-learning-public-code

federated-learning-pytorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

fedtorch

FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.

fedweit

This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer

htmlendwork

learning_pytorch_with_sherlockliao

廖星宇《深度学习入门之PyTorch》代码实践

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

lhy_dl_hw

machine-learning-note

科研入门学习记录

machinelearning_python

机器学习算法python实现

ml-class-assignment

The assignment of machine learning course for post-graduates at BUAA EE, 2019.

ml-notes

notes about machine learning

ml-notes-1

台大李宏毅老师《机器学习》笔记，在线阅读地址：https://scarleatt.github.io/categories/ML-notes/

non-iid-dataset-for-personalized-federated-learning

pfedme

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

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.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pytorch-learning

廖星宇深度学习入门之pytorch第一版书中代码实现

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

shulitongji_buaa

北京航空航天大学 数理统计 课程学习

torchvision-datasets-mnist

Processed torchvision mnist(MNIST, FashionMNIST, EMNIST) datasets for download