Alabenba's Stars
zm17943/SplitAVG
This repository includes the official project of SplitAVG, from our paper "SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging".
gggangmin/SplitFed
Hierarchical Federated Learning with model split
niwanli/FedSL-IoMT
Simulation code for the paper "FedSL: Federated Split Learning for Collaborative Healthcare Analytics on Resource-Constrained Wearable IoMT Devices".
illidanlab/SplitMix
[ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
Naiftt/FedSIS
Official implementation of the paper "FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection" (IJCB 2023)
thestarivore/dnn-onnx-profiler
A tool for the performance profiling and prediction of partitioned Deep Neural Networks in Computing Continua Environments.
MaryamEbr/Early-Exit-and-Partitioning-in-Deep-Neural-Networks
This repository contains some of the codes for paper "Combining DNN partitioning and early exit" published in EdgeSys '22: Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking, April 2022
NicolasMeseguer/pcgcn
Partition Centric Graph Convolutional Networks in PyTorch
lewin4/DNN-Partition
DNN partition edge-cloud co-infer
hush66/DNN-Partition-demo
A DNN model partition demo
Tjyy-1223/Neurosurgeon
云边协同- collaborative inference 📚Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge
aazim18/Python
Deep neural network (DNN) implementation for inference tasks
microsoft/EA-HAS-Bench
EA-HAS-Bench: Energy-Aware Hyperparameter and Architecture Search Benchmark (ICLR Spotlight 2023)
automl/nasbench301
D-X-Y/AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
xijiu9/Train_Transformers_with_INT4
dr-faustus/Lambda-DARTS
Official implementation of the [ICLR'2023] paper "Λ-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells"
mingkai-zheng/GENIUS
Can GPT-4 Perform Neural Architecture Search?
TL-System/plato
A federated learning framework to support scalable and reproducible research
chandra2thapa/SplitFed-When-Federated-Learning-Meets-Split-Learning
Releasing the source code Version1.
GATECH-EIC/HW-NAS-Bench
[ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
FedML-AI/FedML
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
SNAS-Series/SNAS-Series
This repo contains the PyTorch implementation of the SNAS-Series papers
quark0/darts
Differentiable architecture search for convolutional and recurrent networks
chaoyanghe/MiLeNAS
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. Published in CVPR 2020
chaoyanghe/FedNAS
FedNAS: Federated Deep Learning via Neural Architecture Search
alibaba/lightweight-neural-architecture-search
This is a collection of our zero-cost NAS and efficient vision applications.
idstcv/ZenNAS
openai/consistency_models
Official repo for consistency models.
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch