mit-han-lab / once-for-allLinks
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
☆1,943Updated 2 years ago
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:
- Mobile vision models and code☆917Updated 3 months ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,450Updated last year
- Collection of recent methods on (deep) neural network compression and acceleration.☆953Updated 8 months ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,517Updated 5 years ago
- Automated deep learning algorithms implemented in PyTorch.☆1,582Updated 3 years ago
- A curated list of neural network pruning resources.☆2,487Updated last year
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆445Updated 2 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆433Updated 2 years ago
- Codebase for Image Classification Research, written in PyTorch.☆2,167Updated last year
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆925Updated 2 years ago
- Summary, Code for Deep Neural Network Quantization☆558Updated 6 months ago
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,584Updated last year
- Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"☆966Updated 3 years ago
- ☆670Updated 4 years ago
- Flops counter for neural networks in pytorch framework☆2,957Updated 4 months ago
- Papers for deep neural network compression and acceleration☆403Updated 4 years ago
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆856Updated 4 years ago
- Model analyzer in PyTorch☆1,501Updated 2 years ago
- AutoML tools chain☆852Updated 2 years ago
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆540Updated last year
- A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods p…☆1,577Updated last month
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,326Updated 3 years ago
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆631Updated 5 years ago
- PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by …☆423Updated 5 years ago
- A general and accurate MACs / FLOPs profiler for PyTorch models☆631Updated 4 months ago
- Collection of common code that's shared among different research projects in FAIR computer vision team.☆2,204Updated 3 months ago
- 72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models☆721Updated 4 years ago
- A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility☆1,973Updated 2 years ago
- A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quan…☆650Updated 2 years ago
- AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.☆2,521Updated this week