zza234s

zza234s's Stars

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python23.5k4152944.3k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.2k2523.5k3.6k

• HumanAIGC/AnimateAnyone

  Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

  14.4k67192969

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript12.1k9136443.1k

• wangshusen/DRL

  Deep Reinforcement Learning

  3.3k4255577

• open-mmlab/mmselfsup

  OpenMMLab Self-Supervised Learning Toolbox and Benchmark

  Language:Python3.2k45279429

• HobbitLong/SupContrast

  PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

  Language:Python3.1k20135530

• guoqincode/Open-AnimateAnyone

  Unofficial Implementation of Animate Anyone

  Language:Python2.9k82130234

• HobbitLong/PyContrast

  PyTorch implementation of Contrastive Learning methods

  Language:Python1.9k4228186

• zjunlp/EasyEdit

  [ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

  Language:Jupyter Notebook1.8k23312220

• rusty1s/pytorch_sparse

  PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

  Language:Python1k15279147

• vincen-github/mlimpl

  This repository collects some codes that encapsulates commonly used algorithms in the field of machine learning. Most of them are based on Numpy, Pandas or Torch. You can deepen your understanding to related model and algorithm or revise it to get the customized code belongs yourself by referring to this repository.

  Language:Shell3682093

• zhao-tong/graph-data-augmentation-papers

  A curated list of graph data augmentation papers.

  2958023

• Psycoy/EasyLiterature

  EasyLiterature is an open-sourced, Python-based command line tool for automatic literature management.

  Language:Python2312214

• sun0225SUN/sun0225SUN

  sun0225SUN's profile with 214 stars and 246 forks 🎉

  214210246

• tsinghua-fib-lab/DRL-urban-planning

  A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)

  Language:Jupyter Notebook18831537

• TsingZ0/HtFLlib

  Configure one file for model heterogeneity. Consistent GPU memory usage for single or multiple clients.

  Language:Python100314

• BUPT-GAMMA/CPF

  The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework

  Language:Python7231420

• yh-yao/FedGCN

  Official Code for FedGCN [NeurIPS 2023]

  Language:Jupyter Notebook581312

• TsingZ0/FedTGP

  AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning

  Language:Python32224

• wenzhilics/GraphSHA

  "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23

  Language:Python24117

• nerdslab/halfhop

  Official Implementation of Half-Hop

  Language:Python18412

• Xtra-Computing/FedOV

  Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)

  Language:Python14203

• LipingYi/FedGH

  FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)

  Language:Python13112

• wgc-research/fgssl

  Language:Python10103

• zhenqincn/FedAPEN

  This repository contains the official implementation of the paper entitled with "FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical Heterogeneity".

  Language:Python10223

• huang1997214/Cost-Aware

  Language:Python74

• lokinko/FedRay

  Language:Python7100

• zza234s/High-quality-Figure-

  High-Quality Figure Recods about Federated Learning. 联邦学习论文好看的图记录

  5101

• zza234s/FedGCN

  Official Code for FedGCN [NeurIPS 2023]

  Language:Jupyter Notebook1000