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addressing-class-imbalance-fl

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

autodl-projects

Automated deep learning algorithms implemented in PyTorch.

avalanche

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

awesome-federated-learning-on-graph-and-tabular-data

Federated learning on graph and tabular data related papers, frameworks, and datasets.

awesome_lightweight_networks

The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，etc. ⭐⭐⭐⭐⭐

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

easyfl

An easy-to-use federated learning platform

fcil

This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.

federated-learning

联邦学习

fedknow

fedlab

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

fedml

A Research-Industry integrated Federated Learning Library, backed by FedML, Inc (https://FedML.ai). Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)

fedml-iot

FedML-IoT: Federated Learning on IoT Devices (supported by FedML framework)

fedml-server

FedML-Server: Federated Learning Server for FedML-IoT and FedML-Mobile

fedrepo

fedscale

FedScale: Benchmarking Model and System Performance of Federated Learning

fedul

FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients

flamby

This repository gathers the materials of the FL-datasets public initiative.

mnist-federated

Experiments on MNIST dataset and federated training using Flower framework

nn-meter

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

nordtexnotes

A lightweight LaTeX template for use with the IB Category 5 Internal Assessment based on the article class.

pycil

PyCIL: A Python Toolbox for Class-Incremental Learning

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

research-scientificwriting

taichi

Productive & portable high-performance programming in Python.

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

zh-google-styleguide

Google 开源项目风格指南 (中文版)