mit-han-lab / once-for-allLinks
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
☆1,936Updated last year
Alternatives and similar repositories for once-for-all
Users that are interested in once-for-all are comparing it to the libraries listed below
Sorting:
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,450Updated last year
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,516Updated 5 years ago
- Mobile vision models and code☆916Updated last month
- Collection of recent methods on (deep) neural network compression and acceleration.☆951Updated 7 months ago
- Automated deep learning algorithms implemented in PyTorch.☆1,582Updated 3 years ago
- A curated list of neural network pruning resources.☆2,481Updated last year
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆445Updated last year
- 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
- Codebase for Image Classification Research, written in PyTorch.☆2,165Updated last year
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆431Updated 2 years ago
- ☆669Updated 4 years ago
- Model analyzer in PyTorch☆1,499Updated 2 years ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆924Updated 2 years ago
- Summary, Code for Deep Neural Network Quantization☆555Updated 4 months ago
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,319Updated 3 years ago
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆854Updated 4 years ago
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,581Updated last year
- A general and accurate MACs / FLOPs profiler for PyTorch models☆629Updated 3 months ago
- Flops counter for neural networks in pytorch framework☆2,952Updated 2 months ago
- Memory consumption and FLOP count estimates for convnets☆930Updated 6 years ago
- A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods p…☆1,567Updated last week
- A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility☆1,970Updated 2 years ago
- Papers for deep neural network compression and acceleration☆401Updated 4 years ago
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆538Updated last year
- AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.☆2,480Updated last week
- micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…☆2,263Updated 6 months ago
- Pytorch implementation of various Knowledge Distillation (KD) methods.☆1,725Updated 3 years ago
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆631Updated 4 years ago
- Network Slimming (Pytorch) (ICCV 2017)☆915Updated 5 years ago
- AutoML tools chain☆852Updated 2 years ago