ConRresIm

Asynchronous-Federated-Learning-MNIST-Image-Classifier

Asynchronous Federated Learning MNIST Image Classifier using Convolutional Neural-Network

Image_Denoising_Autoencoder

Image Denoising Autoencoder on MNIST/FashionMNIST using Pytorch and CNN

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

CNN-VAE

Variational Autoencoder (VAE) with perception loss implementation in pytorch

Deep-SVDD-PyTorch

A PyTorch implementation of the Deep SVDD anomaly detection method

fedAsync

simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"

awesome-asynchronous-federated-learning

📦 Collect some Asynchronous Federated Learning papers.

MMD-mixup-Defense

python-DP-DL

attacking-ML-models-privacy

Implementing Attacks for ML learning models for Membership Inference, Model Extraction and Model Inversion

Private-Aggregation-of-Teacher-Ensembles

SPEML3-Model-Inversion

magtess-inversion-python

Program for magnetic tesseroid inversion

GMI-Attack

mia

model_inversion_attack

Keras-GAN

Keras implementations of Generative Adversarial Networks.

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

FedML_Local

MDPI_FL

Optimal User Selection for High-Performance and Stabilized Energy-Efficient Federated Learning Platforms

Federated-Learning-and-Split-Learning-with-raspberry-pi

SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

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, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

WTF-DeepRL

Deep RL algorithm in pytorch

wolpertinger_ddpg

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces

PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, Hado van Hasselt, Peter Sunehag, Timothy Lillicrap, Jonathan Hunt, Timothy Mann, Theophane Weber, Thomas Degris, Ben Coppin).

Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

example_of_reinforcement_lreaning_by_pytorch

一些利用pytorch编程实现的强化学习例子

flsim

inherit from https://github.com/iqua/flsim

Federated-Learning-PyTorch

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