☆664Aug 25, 2021Updated 5 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- a list of awesome papers on deep model ompression and acceleration☆348Jun 19, 2021Updated 5 years ago
- Papers for deep neural network compression and acceleration☆402Nov 2, 2026Updated last week
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆547Sep 21, 2024Updated 2 years ago
- A curated list of neural network pruning resources.☆2,497Apr 4, 2024Updated 2 years ago
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆854Jun 19, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Collection of recent methods on (deep) neural network compression and acceleration.☆959Apr 4, 2025Updated last year
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,514Jun 7, 2020Updated 6 years ago
- Awesome Knowledge Distillation☆3,921Oct 26, 2026Updated 2 weeks ago
- micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…☆2,262May 6, 2025Updated last year
- An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.☆2,914Mar 31, 2023Updated 3 years ago
- Network Slimming (Pytorch) (ICCV 2017)☆919Nov 6, 2020Updated 6 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,089May 2, 2024Updated 2 years ago
- Network acceleration methods☆178Jun 19, 2021Updated 5 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆335Jul 25, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Summary, Code for Deep Neural Network Quantization☆562Sep 1, 2026Updated 2 months ago
- collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning☆567Feb 3, 2024Updated 2 years ago
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,352Sep 26, 2022Updated 4 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆385Oct 2, 2019Updated 7 years ago
- 在 oxford hand 数据集上对 YOLOv3 做模型剪枝(network slimming)☆1,677Sep 26, 2022Updated 4 years ago
- knowledge distillation papers☆767Feb 10, 2023Updated 3 years ago
- papers about model compression☆166Feb 10, 2023Updated 3 years ago
- Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators☆1,552Aug 28, 2019Updated 7 years ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆925Mar 9, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,450Aug 30, 2024Updated 2 years ago
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆630Nov 9, 2020Updated 6 years ago
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆182Oct 29, 2020Updated 6 years ago
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆884Jul 12, 2019Updated 7 years ago
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆577Jul 14, 2019Updated 7 years ago
- Automated deep learning algorithms implemented in PyTorch.☆1,582Apr 24, 2022Updated 4 years ago
- Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)☆611Aug 31, 2023Updated 3 years ago
- real-time network architecture for mobile devices and semantic segmentation☆402Jul 25, 2022Updated 4 years ago
- Count the MACs / FLOPs of your PyTorch model.☆5,084Jul 8, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆1,771Apr 19, 2019Updated 7 years ago
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆574May 13, 2019Updated 7 years ago
- A Simple and Versatile Framework for Object Detection and Instance Recognition☆3,088Sep 23, 2021Updated 5 years ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆351Jul 5, 2020Updated 6 years ago
- Pelee: A Real-Time Object Detection System on Mobile Devices☆884Jan 4, 2019Updated 7 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆168Feb 26, 2021Updated 5 years ago
- Light-Head R-CNN☆830Dec 24, 2018Updated 7 years ago
Are these results useful?