Githubpays

Githubpays's Stars

• db-Lee/selfsup_dd

  Self-Supervised Dataset Distillation for Transfer Learning

  Language:Python112

• SZU-AdvTech-2022/014-Decentralized-Federated-Learning-via-Mutual-Knowledge-Transfer

  Language:Python2

• daoyuan98/MDDA

  Implementation of paper multi-source distilling domain adaptation

  Language:Python5113

• Xtra-Computing/NIID-Bench

  Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

  Language:Python552114

• anonymifish/fed-distribution-matching

  Implementation of FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning

  Language:Python8

• FLHonker/AMTML-KD-code

  AMTML-KD: Adaptive Multi-teacher Multi-level Knowledge Distillation

  Language:Jupyter Notebook476

• MediaBrain-SJTU/FedDisco

  Language:Python60

• kynehc/clone_anonymous_github

  clone/download repositories from https://anonymous.4open.science/

  Language:Python8521

• Lee-Gihun/FedNTD

  (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"

  Language:Python7214

• bigdata-inha/Split-and-Bridge

  (AAAI 2021) Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network

  Language:Python236

• zj-jayzhang/DENSE

  Official PyTorch implementation of DENSE (NeurIPS 2022)

  Language:Python246

• zhuangdizhu/FedGen

  Code and data accompanying the FedGen paper

  Language:Python23469

• soumith/imagenetloader.torch

  some old code that i wrote, might be useful to others

  Language:Shell9824

• daiqing98/FedCIL

  Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning

  Language:Python264

• SaraBabakN/MFCL-NeurIPS23

  Language:Python142

• LiuChuang0059/Awesome-Model-Merging

  :couple: A curated list of Model Merging methods.

  1

• GT-RIPL/AlwaysBeDreaming-DFCIL

  PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"

  Language:Python6012

• grbagwe/Fed-CPrompt

  PyTorch implementation of FL-ICML paper "Fed-CPrompt:ContrastivePromptforRehearsal-FreeFederatedContinual Learning"

  Language:Python3

• TouchSky-Lab/Awesome-Data-Free-Knowledge-Distillation

  Data-Free Knowledge Distillation

  192

• ZhangLin-PKU/FedFTG

  Language:Python366

• wyjeong/FedWeIT

  This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer

  Language:Python9727

• kuluhan/PRE-DFKD

  Official implementation of the work titled "Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay"

  Language:Python181

• conditionWang/FCIL

  This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.

  Language:Python9328

• EdenBelouadah/class-incremental-learning

  Language:Python17328

• passalis/pkth

  Implementation of the Heterogeneous Knowledge Distillation using Information Flow Modeling method

  Language:Python246

• kuc2477/pytorch-deep-generative-replay

  PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017

  Language:Python15325

• ganguli-lab/pathint

  Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017

  Language:Jupyter Notebook9524

• wangyu-sd/RetroExplainer

  RetroExplainer: A chemical knowledge and deep-leaning guided molecular assembly approach for retrosynthesis prediction with quantitative interpretability

  Language:Python6210

• zj-jayzhang/Federated-Class-Continual-Learning

  This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)

  Language:Python294

• cvdfoundation/google-landmark

  Dataset with 5 million images depicting human-made and natural landmarks spanning 200 thousand classes.

  Language:Shell751132