ConRresIm's Stars
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
weiaicunzai/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-AI/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.
znxlwm/pytorch-generative-model-collections
Collection of generative models in Pytorch version.
AshwinRJ/Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
lukasruff/Deep-SVDD-PyTorch
A PyTorch implementation of the Deep SVDD anomaly detection method
AmazingAng/WTF-DeepRL
Deep RL algorithm in pytorch
jimkon/Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym
LukeDitria/CNN-VAE
Variational Autoencoder (VAE) with perception loss implementation in pytorch
beiyuouo/awesome-asynchronous-federated-learning
📦 Collect some Asynchronous Federated Learning papers.
Minki-Kim95/Federated-Learning-and-Split-Learning-with-raspberry-pi
SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
nikhil3456/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).
ChangyWen/wolpertinger_ddpg
Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.
talebolano/example_of_reinforcement_lreaning_by_pytorch
一些利用pytorch编程实现的强化学习例子
chenyang1999/Keras-GAN
Keras implementations of Generative Adversarial Networks.
AI-secure/GMI-Attack
yuxuan18/fedAsync
simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"
rlskit13/Asynchronous-Federated-Learning-MNIST-Image-Classifier
Asynchronous Federated Learning MNIST Image Classifier using Convolutional Neural-Network
shuhao02/flsim
inherit from https://github.com/iqua/flsim
joohyung1213/MDPI_FL
Optimal User Selection for High-Performance and Stabilized Energy-Efficient Federated Learning Platforms
MhmudFwzi/attacking-ML-models-privacy
Implementing Attacks for ML learning models for Membership Inference, Model Extraction and Model Inversion
colaalex111/MMD-mixup-Defense
eldarbaykiev/magtess-inversion-python
Program for magnetic tesseroid inversion
OsvaldFrisk/Private-Aggregation-of-Teacher-Ensembles
NNToan-apcs/python-DP-DL
Anand4405/Image_Denoising_Autoencoder
Image Denoising Autoencoder on MNIST/FashionMNIST using Pytorch and CNN
JJublanc/model_inversion_attack
katekemu/mia
DiegoAnas/SPEML3-Model-Inversion
whiteashes1996/FedML_Local