chuiyangmeng96

fedavgpy

On the Convergence of FedAvg on Non-IID Data

matmulfreellm

Implementation for MatMul-free LM.

wandb

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

pykan

Kolmogorov Arnold Networks

efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

MHGphormer

This repository hosts the code for the Metapath-based Heterogeneous Graph-Transformer Network (MHGphormer), proposed in our IEEE TCOM journal publication "Joint Spectrum, Precoding, and Phase Shifts Design for RIS-Aided Multiuser MIMO THz Systems".

dbrx

Code examples and resources for DBRX, a large language model developed by Databricks

cvxpy

A Python-embedded modeling language for convex optimization problems.

SFL-workflow-optimization

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

leetcode

Python & JAVA Solutions for Leetcode

LeetCode-Solutions

🏋️ Python / Modern C++ Solutions of All 3246 LeetCode Problems (Weekly Update)

pytorch-mobilenet-v2

A PyTorch implementation of MobileNet V2 architecture and pretrained model.

SplitMix

[ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time

notero

A Zotero plugin for syncing items and notes into Notion

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Federated-and-Split-Learning-on-Edge

This is the official implementation of Federated and Split Learning on multiple Raspberry Pi's. It is the demonstration of training the data on edge devices without having threat to security issues.

Federated-Learning-and-Split-Learning-with-raspberry-pi

SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

Split-Learning-and-Federated-Learning

Investigating Split Learning and Federate Learning

SplitFed-When-Federated-Learning-Meets-Split-Learning

Releasing the source code Version1.

awesome-split-learning

A curated repository for various papers in the domain of split learning.

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

SplitLearning

Applied Split Learning in PyTorch with torch.distributed.rpc and torch.distributed.autograd

tgn

TGN: Temporal Graph Networks

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

CVX

A MATLAB system for disciplined convex programming

Generalization-of-DSGD

The official implementation of the paper "Topology-aware Generalization of Decentralized SGD"

STAGATE

Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics