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awesome-federated-learning

resources about federated learning and privacy in machine learning

awesome-federated-learning-1

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

bank_interview

:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

bayes

LDF、QDF、RDA、MQDF

c-gplvm

PyTorch implementation of the Covariate-GPLVM

chexpert-entries

Notebooks and scripts for making submissions to the CheXpert Competition

couda

This project provides the source code for “Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis (IEEE TIP 2020)”.

covid-ct

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

deep-co-training-for-semi-supervised-image-recognition

Unofficial implementation of the paper 'Deep Co-Training for Semi-Supervised Image Recognition'

deephit

DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks

deeppath

Classification of Lung cancer slide images using deep-learning

deepsurv.pytorch

fate

An Industrial Level Federated Learning Framework

federated-learning

Federated Learning - PyTorch

federated-learning-1

Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习

flaml

A fast and lightweight AutoML library.

gcnet-pytorch

This is a pytorch type of block，including Non-local block，Simple Non-local block，GC block and all GC block; refer to paper《GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond》

gpy

Gaussian processes framework in python

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

gradcam_plus_plus-pytorch

A Simple pytorch implementation of GradCAM and GradCAM++

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

jigendg

Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"

jigsawpuzzlepytorch

Pytorch implementation of the method from the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"

lintcodeinpython

machine-learning

机器学习实战（Python3）

mdda

Implementation of paper multi-source distilling domain adaptation

medical-cross-modality-domain-adaptation

[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

modern-cpp-tutorial

📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly

pysyft

A library for encrypted, privacy preserving deep learning