Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.

模型压缩的小白入门教程

[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。

This repo contains model compression(using TensorRT) and documentation of running various deep learning models on NVIDIA Jetson Orin, Nano (aarch64 architectures)

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

OpenBA-V2: 3B LLM (Large Language Model) with T5 architecture, utilizing model pruning technique and continuing pretraining from OpenBA-15B.

ptdeco is a library for model optimization by decomposition built on top of PyTorch

Awesome machine learning model compression research papers, tools, and learning material.

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM

[CVPR 2024 Highlight] Logit Standardization in Knowledge Distillation

The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

A Comparative Analysis of Sound Data Pre-processing and Deep Learning Model Compression Techniques: A Study on Forest Sound Classification

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

[ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization

subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment

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 (papers, repositories) that are missed by the repo.

List of papers related to neural network quantization in recent AI conferences and journals.