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awesome-federated-machine-learning

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

awesome-knowledge-distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2020)。

factor-transfer-pytorch

Paraphrasing Complex Network: Network Compression via Factor Transfer Code (NeurIPS 2018)

federated-learning-pytorch

PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visual classification. Client distributions are synthesized with arbitrary non-identicalness and imbalance (Dirichlet priors). Client systems can be arbitrarily heterogeneous. Several mobile-friendly models are provided

ffl-pytorch

Feature Fusion for Online Mutual Knowledge Distillation Code

kernel-principal-component-analysis-kpca

KPCA for dimensionality reduction, feature extraction , fault detection, and fault diagnosis

learnt_atten_pro

pfl-non-iid

Personalized federated learning simulation platform with non-IID and unbalanced dataset

pt-sdae

PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-tutorial

Build your neural network easy and fast

sdae

Stacked Denoising AutoEncoder

transferable-adversarial-training

Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习