model-acceleration topic
Awesome-Pruning
A curated list of neural network pruning resources.
awesome-AutoML-and-Lightweight-Models
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hype...
Model-Compression-Papers
Papers for deep neural network compression and acceleration
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (pape...
musco-pytorch
MUSCO: MUlti-Stage COmpression of neural networks
CrossGET
[ICML 2024] CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers.
Awesome-EdgeAI
Resources of our survey paper "A Systematic Review of AI Deployment on Resource-Constrained Edge Devices: Challenges, Techniques, and Applications"
SigDL
Deep Learning Compression and Acceleration SDK -- deep model compression for Edge and IoT embedded systems, and deep model acceleration for clouds and private servers
MicroNet_OSI-AI
(NeurIPS-2019 MicroNet Challenge - 3rd Winner) Open source code for "SIPA: A simple framework for efficient networks"
Awesome-Diffusion-Distillation
A list of papers, docs, codes about diffusion distillation.This repo collects various distillation methods for the Diffusion model. Welcome to PR the works (papers, repositories) missed by the repo.