he-y / Awesome-Pruning
A curated list of neural network pruning resources.
☆2,426Updated 11 months ago
Alternatives and similar repositories for Awesome-Pruning:
Users that are interested in Awesome-Pruning are comparing it to the libraries listed below
- Collection of recent methods on (deep) neural network compression and acceleration.☆939Updated 3 months ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,517Updated 4 years ago
- Pytorch implementation of various Knowledge Distillation (KD) methods.☆1,672Updated 3 years ago
- A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility☆1,921Updated last year
- A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are co…☆2,026Updated 2 weeks ago
- [CVPR 2023] DepGraph: Towards Any Structural Pruning☆2,928Updated 2 weeks ago
- Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。☆2,559Updated last year
- Count the MACs / FLOPs of your PyTorch model.☆4,964Updated 8 months ago
- Flops counter for convolutional networks in pytorch framework☆2,869Updated 2 months ago
- ☆668Updated 3 years ago
- Summary, Code for Deep Neural Network Quantization☆546Updated 5 months ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,903Updated last year
- Awesome Knowledge Distillation☆3,616Updated last week
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,377Updated last year
- [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods☆2,295Updated last year
- micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…☆2,230Updated 3 years ago
- knowledge distillation papers☆752Updated 2 years ago
- Network Slimming (Pytorch) (ICCV 2017)☆916Updated 4 years ago
- Model analyzer in PyTorch☆1,477Updated 2 years ago
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆507Updated 6 months ago
- Efficient computing methods developed by Huawei Noah's Ark Lab☆1,254Updated 4 months ago
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,271Updated 2 years ago
- Papers for deep neural network compression and acceleration☆396Updated 3 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆428Updated last year
- A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆25 knowledge distillation methods p…☆1,467Updated 2 weeks ago
- Model Quantization Benchmark☆793Updated 2 months ago
- Codebase for Image Classification Research, written in PyTorch.☆2,150Updated last year
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆917Updated 2 years ago
- RepVGG: Making VGG-style ConvNets Great Again☆3,376Updated 2 years ago
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆878Updated 5 years ago