idyllic990920

idyllic990920

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Awesome-Federated-Machine-Learning

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

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Awesome-Knowledge-Distillation

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

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Factor-Transfer-pytorch

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

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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

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FFL-pytorch

Feature Fusion for Online Mutual Knowledge Distillation Code

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Kernel-Principal-Component-Analysis-KPCA

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

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PFL-Non-IID

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

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pt-sdae

PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)

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PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

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PyTorch-Tutorial

Build your neural network easy and fast

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SDAE

Stacked Denoising AutoEncoder

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Transferable-Adversarial-Training

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

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transferlearning

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

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