leader120

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Addressing-Class-Imbalance-FL

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

Advances-in-Label-Noise-Learning

A curated (most recent) list of resources for Learning with Noisy Labels

AdvBox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

Adversarial-Example-Attack-and-Defense

This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.

CapsNet-Tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

Digital-Image-Processing

Pixelhop

leader120/AIJack

Security and Privacy Risk Simulator for Machine Learning

leader120/Awesome-Domain-LLM

收集和梳理垂直领域的开源模型、数据集及评测基准。

leader120/Awesome-Federated-Learning-on-Graph-and-GNN-papers

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

leader120/awesome-imbalanced-learning-on-graphs

A repository contains a collection of resources and papers on Imbalance Learning On Graphs

leader120/CLNode

leader120/Debiased-Self-Training-for-Semi-Supervised-Learning

leader120/Differential-Privacy-Based-Federated-Learning

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

leader120/DynamicPFL

nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy

leader120/erase

[Arxiv-2023] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"

leader120/Fed-NCL

Federated Noisy Client Learning

leader120/FedCorr

CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction

leader120/FedEgo

leader120/FPL_MS

a MindSpore implementation of Federated Prototype Learning

leader120/GNN-VPA

A Variance-Preserving Aggregation Strategy for Graph Neural Networks

leader120/Graph-Neural-Networks-With-Heterophily

This repository contains the resources on graph neural network (GNN) considering heterophily.

leader120/graph-papers

Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.

leader120/GSLB

A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)

leader120/HtFL

You only need to configure one file to support model heterogeneity scenarios.

leader120/MarsFL

Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark

leader120/NoisyGL

A Comprehensive Benchmark for Graph Neural Networks under Label Noise

leader120/OpenGSL

leader120/PFLlib

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

leader120/POT-GCL

Source code of NeurIPS 2023 "Provable Training for Graph Contrastive Learning"

leader120/ProG

All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.

leader120/pytorch_geometric

Graph Neural Network Library for PyTorch

leader120/RGIB

[NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"

leader120/RNCGLN

This is the implement of RNCGLN which paper is submitted to AAAI24

leader120/SFA

The official implementation for paper: Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels

leader120/SupContrast

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

leader120/TAM

TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification