MingSun-Tse / Efficient-Deep-Learning
Collection of recent methods on (deep) neural network compression and acceleration.
☆936Updated last month
Alternatives and similar repositories for Efficient-Deep-Learning:
Users that are interested in Efficient-Deep-Learning are comparing it to the libraries listed below
- ☆663Updated 3 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,511Updated 4 years ago
- Summary, Code for Deep Neural Network Quantization☆538Updated 3 months ago
- Papers for deep neural network compression and acceleration☆397Updated 3 years ago
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆499Updated 3 months ago
- A curated list of neural network pruning resources.☆2,389Updated 9 months ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆914Updated last year
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆436Updated last year
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆847Updated 3 years ago
- Network Slimming (Pytorch) (ICCV 2017)☆914Updated 4 years ago
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆877Updated 5 years ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,893Updated last year
- PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by …☆416Updated 4 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆427Updated last year
- micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…☆2,227Updated 3 years ago
- knowledge distillation papers☆743Updated last year
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆377Updated 3 years ago
- Model analyzer in PyTorch☆1,471Updated last year
- A general and accurate MACs / FLOPs profiler for PyTorch models☆579Updated 8 months ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,082Updated 8 months ago
- papers about model compression☆166Updated last year
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆566Updated 5 years ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆352Updated 4 years ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,426Updated 4 months ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆377Updated 5 years ago
- a list of awesome papers on deep model ompression and acceleration☆350Updated 3 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆331Updated 5 months ago
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,262Updated 2 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆316Updated 5 years ago
- Model Quantization Benchmark☆779Updated this week