1396 Open source projects that are alternatives of or similar to PFL-Non-IID

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

PyTorch implementation of shake-drop regularization

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Generative Adversarial Networks in TensorFlow 2.0

A small convolution neural network deep learning framework implemented in c++.

Federated Learning mini-framework with Keras

A repository for recording the machine learning code

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Start-to-end photon experiment simulation platform

tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition

Healthcare-Researcher-Connector Package: Federated Learning tool for bridging the gap between Healthcare providers and researchers

The implementation of Relativistic average GAN with Keras

Bachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data

Theano implementation of XNOR-Net

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Federated Principal Component Analysis Revisited!

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

Label Embedding Network

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

Implementation of a LSTM with TensorFlow and distributed on Apache Spark

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

机器学习、深度学习、NLP实战项目

TensorBasicModel

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

A showcase for Proto.Actor - an ultra-fast distributed actors solution for Go, C#, and Java/Kotlin.

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

Resources and info about open source city builder games.

Kytos SDN Platform is the fastest way to deploy an SDN Network. With this you can deploy a basic OpenFlow controller or your own controller. Kytos was designed to be easy to install, use, develop and share Network Apps (NApps). Kytos is incredibly powerful and easy, its modular design makes Kytos a lightweight SDN Platform.

Barrage is an opinionated supervised deep learning tool built on top of TensorFlow 2.x designed to standardize and orchestrate the training and scoring of complicated models.

🚀 R package future.batchtools: A Future API for Parallel and Distributed Processing using batchtools

GPU Mass-Spring Simulation Cloth in Unity

Simple Keras implementation of Triplet-Center Loss on the MNIST dataset

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

mnist with Tensorflow

qecsim is a Python 3 package for simulating quantum error correction using stabilizer codes.

This is a dynamic simulation for quadrotor UAV

Modelica BuildingSystems library

Github repository to share some insights about lithography simulation.

Agent-based simulation model for COVID-19 spread in society and patient outcomes

A minimal implementation of Wasserstein GAN

My personal portfolio and resume page.

A GAMA (http://gama-platform.org) model on the assessment and comparisons of intervention policies against the CoVid19 pandemics

ls1-MarDyn is a massively parallel Molecular Dynamics (MD) code for large systems. Its main target is the simulation of thermodynamics and nanofluidics. ls1-MarDyn is designed with a focus on performance and easy extensibility.

osparc-simcore simulation framework

How-to on simulating a robot with V-REP and controlling it with ROS

Experiments for "Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and Signals"

A simulator for voting systems.

Extreme Learning Machine implemented in Pytorch

ERT—Ensemble based Reservoir Tool—is a tool to run ensemble based on reservoir models. ERT was originally devised as tool to do model updating (history matching) with the EnKF method, now the primary method for model updating is the Ensemble Smoother (ES).

Arch-MOTD (Message of the day)

Standard federated learning implementations in FedLab and FL benchmarks.

Tools and service for differentially private processing of tabular and relational data

Using various CNN techniques on the MNIST dataset

Render your CV with some d3 goodies.