Pinned Repositories
Backdoor-FedGAN
BSS_FIRST
caj2pdf-actions
CAJ云转换,基于Github Actions
dp-pix
Image Pixelization with Differential Privacy
FedAWARE
Code for paper - Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization
FedGen
Code and data accompanying the FedGen paper
FedLTF
FedNoisy
Benchmark for federated noisy label learning
FedNoRo
LXD_GPU_SERVER
实验室GPU服务器的LXD虚拟化
ss3b3's Repositories
ss3b3/LXD_GPU_SERVER
实验室GPU服务器的LXD虚拟化
ss3b3/FedLTF
ss3b3/Backdoor-FedGAN
ss3b3/BSS_FIRST
ss3b3/caj2pdf-actions
CAJ云转换,基于Github Actions
ss3b3/dp-pix
Image Pixelization with Differential Privacy
ss3b3/FedAWARE
Code for paper - Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization
ss3b3/FedGen
Code and data accompanying the FedGen paper
ss3b3/FedNoisy
Benchmark for federated noisy label learning
ss3b3/FedNoRo
ss3b3/git-re-basin
Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"
ss3b3/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
ss3b3/PersonalizedFL
Personalized federated learning codebase for research
ss3b3/PFL-Non-IID
Personalized federated learning simulation platform with non-IID and unbalanced dataset
ss3b3/Pix2Text
Pix In, Latex & Text Out. Recognize Chinese, English Texts, and Math Formulas from Images.
ss3b3/TorchSSL
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
ss3b3/KTH-Thesis
ss3b3/loss-landscape-anim
Create animations for the optimization trajectory of neural nets
ss3b3/pFedLA
PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning
ss3b3/rcg
PyTorch implementation of RCG https://arxiv.org/abs/2312.03701
ss3b3/REPAIR
Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair
ss3b3/Simple-code-Visualizing-the-Loss-Landscape-of-Neural-Nets
Reimplmentation of Visualizing the Loss Landscape of Neural Nets with PyTorch 1.8
ss3b3/Visualize-Loss-Landscape
Respect to the input tensor instead of paramters of NN