memoiry / Awesome-model-compression-and-accelerationView external linksLinks
☆669Aug 25, 2021Updated 4 years ago
Alternatives and similar repositories for Awesome-model-compression-and-acceleration
Users that are interested in Awesome-model-compression-and-acceleration are comparing it to the libraries listed below
Sorting:
- a list of awesome papers on deep model ompression and acceleration☆349Jun 19, 2021Updated 4 years ago
- Papers for deep neural network compression and acceleration☆402Jun 21, 2021Updated 4 years ago
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆540Sep 21, 2024Updated last year
- A curated list of neural network pruning resources.☆2,490Apr 4, 2024Updated last year
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆857Jun 19, 2021Updated 4 years ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆954Apr 4, 2025Updated 10 months ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,516Jun 7, 2020Updated 5 years ago
- Awesome Knowledge Distillation☆3,811Dec 25, 2025Updated last month
- micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…☆2,271May 6, 2025Updated 9 months ago
- An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.☆2,912Mar 31, 2023Updated 2 years ago
- Network Slimming (Pytorch) (ICCV 2017)☆917Nov 6, 2020Updated 5 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,086May 2, 2024Updated last year
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,336Sep 26, 2022Updated 3 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆385Oct 2, 2019Updated 6 years ago
- 在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）☆1,675Sep 26, 2022Updated 3 years ago
- papers about model compression☆166Feb 10, 2023Updated 3 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆336Jul 25, 2024Updated last year
- Summary, Code for Deep Neural Network Quantization☆558Jun 14, 2025Updated 8 months ago
- collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning☆566Feb 3, 2024Updated 2 years ago
- Automated deep learning algorithms implemented in PyTorch.☆1,584Apr 24, 2022Updated 3 years ago
- Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators☆1,549Aug 28, 2019Updated 6 years ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆928Mar 9, 2023Updated 2 years ago
- knowledge distillation papers☆767Feb 10, 2023Updated 3 years ago
- real-time network architecture for mobile devices and semantic segmentation☆403Jul 25, 2022Updated 3 years ago
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆631Nov 9, 2020Updated 5 years ago
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆575Jul 14, 2019Updated 6 years ago
- ☆1,776Apr 19, 2019Updated 6 years ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,939Dec 14, 2023Updated 2 years ago
- Network acceleration methods☆178Jun 19, 2021Updated 4 years ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,449Aug 30, 2024Updated last year
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆183Oct 29, 2020Updated 5 years ago
- Count the MACs / FLOPs of your PyTorch model.☆5,081Jul 8, 2024Updated last year
- Light-Head R-CNN☆834Dec 24, 2018Updated 7 years ago
- pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet☆704Mar 27, 2020Updated 5 years ago
- Mobile vision models and code☆916Updated this week
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆352Jul 5, 2020Updated 5 years ago
- Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)☆616Aug 31, 2023Updated 2 years ago
- Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html☆7,513Dec 17, 2022Updated 3 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆449Nov 22, 2023Updated 2 years ago