Papers for deep neural network compression and acceleration
☆402Jun 21, 2021Updated 4 years ago
Alternatives and similar repositories for Model-Compression-Papers
Users that are interested in Model-Compression-Papers are comparing it to the libraries listed below
Sorting:
- ☆669Aug 25, 2021Updated 4 years ago
- a list of awesome papers on deep model ompression and acceleration☆348Jun 19, 2021Updated 4 years ago
- Network acceleration methods☆178Jun 19, 2021Updated 4 years ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆954Apr 4, 2025Updated 10 months ago
- A curated list of neural network pruning resources.☆2,492Apr 4, 2024Updated last year
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆540Sep 21, 2024Updated last year
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,516Jun 7, 2020Updated 5 years ago
- papers about model compression☆166Feb 10, 2023Updated 3 years ago
- Summary, Code for Deep Neural Network Quantization☆558Jun 14, 2025Updated 8 months ago
- 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
- An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.☆2,914Mar 31, 2023Updated 2 years ago
- knowledge distillation papers☆768Feb 10, 2023Updated 3 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆449Nov 22, 2023Updated 2 years ago
- collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning☆568Feb 3, 2024Updated 2 years ago
- 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
- Compress neural network with pruning and quantization using TensorFlow.☆106Dec 19, 2018Updated 7 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆168Feb 26, 2021Updated 5 years ago
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,335Sep 26, 2022Updated 3 years ago
- Awesome Knowledge Distillation☆3,817Dec 25, 2025Updated 2 months ago
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆161Dec 18, 2020Updated 5 years ago
- PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by …☆427Feb 27, 2020Updated 6 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,088May 2, 2024Updated last year
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆928Mar 9, 2023Updated 2 years ago
- Contrast between ShuffleNet V2 and MnasNet.(Non-official implement In PyTorch)☆12Oct 25, 2018Updated 7 years ago
- Paper list on model compression and acceleration☆26Jun 4, 2019Updated 6 years ago
- ☆1,510Aug 27, 2020Updated 5 years ago
- Automated deep learning algorithms implemented in PyTorch.☆1,586Apr 24, 2022Updated 3 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆385Oct 2, 2019Updated 6 years ago
- Network Slimming (Pytorch) (ICCV 2017)☆918Nov 6, 2020Updated 5 years ago
- Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)☆617Aug 31, 2023Updated 2 years ago
- Awesome Computer Vision Resources☆85Feb 22, 2019Updated 7 years ago
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆404Feb 26, 2021Updated 5 years ago
- EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activatio…☆408Nov 22, 2022Updated 3 years ago
- Count the MACs / FLOPs of your PyTorch model.☆5,082Jul 8, 2024Updated last year
- Deep Compression on AlexNet☆673Mar 5, 2022Updated 3 years ago
- A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility☆1,982Mar 25, 2023Updated 2 years ago
- 适用于移动端的人脸识别模型，计算量与mobilefacenet相同，但megaface上提升了2%+☆232Apr 17, 2020Updated 5 years ago
- Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。☆2,654May 30, 2023Updated 2 years ago
- A curated list of awesome architecture search resources☆1,189Sep 15, 2020Updated 5 years ago