he-y / Awesome-PruningLinks
A curated list of neural network pruning resources.
☆2,476Updated last year
Alternatives and similar repositories for Awesome-Pruning
Users that are interested in Awesome-Pruning are comparing it to the libraries listed below
Sorting:
- Collection of recent methods on (deep) neural network compression and acceleration.☆952Updated 5 months ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,514Updated 5 years ago
- Pytorch implementation of various Knowledge Distillation (KD) methods.☆1,714Updated 3 years ago
- Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。☆2,625Updated 2 years ago
- A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are co…☆2,210Updated 6 months ago
- knowledge distillation papers☆758Updated 2 years ago
- Summary, Code for Deep Neural Network Quantization☆552Updated 2 months ago
- A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility☆1,963Updated 2 years ago
- micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…☆2,256Updated 4 months ago
- Awesome Knowledge Distillation☆3,732Updated 3 months ago
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆535Updated 11 months ago
- [CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.☆3,125Updated 2 months ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,928Updated last year
- ☆669Updated 4 years ago
- Network Slimming (Pytorch) (ICCV 2017)☆915Updated 4 years ago
- Flops counter for neural networks in pytorch framework☆2,943Updated 3 weeks ago
- Efficient computing methods developed by Huawei Noah's Ark Lab☆1,293Updated 10 months ago
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,401Updated 2 years ago
- [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods☆2,372Updated last year
- Model analyzer in PyTorch☆1,495Updated 2 years ago
- A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods p…☆1,550Updated 2 weeks ago
- Count the MACs / FLOPs of your PyTorch model.☆5,046Updated last year
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,306Updated 2 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆445Updated last year
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆924Updated 2 years ago
- Automated deep learning algorithms implemented in PyTorch.☆1,583Updated 3 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆431Updated 2 years ago
- 72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models☆711Updated 4 years ago
- PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by …☆421Updated 5 years ago
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆852Updated 4 years ago