mit-han-lab / proxylessnasLinks
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
☆1,450Updated last year
Alternatives and similar repositories for proxylessnas
Users that are interested in proxylessnas are comparing it to the libraries listed below
Sorting:
- Automated deep learning algorithms implemented in PyTorch.☆1,581Updated 3 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,516Updated 5 years ago
- PyTorch Implementation of DARTS: Differentiable Architecture Search☆447Updated 3 years ago
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆853Updated 4 years ago
- NAS-Bench-201 API and Instruction☆639Updated 5 years ago
- Mobile vision models and code☆915Updated last month
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,934Updated last year
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆396Updated 4 years ago
- PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search☆440Updated 5 years ago
- Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"☆364Updated 5 years ago
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆885Updated 6 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆443Updated last year
- A curated list of awesome architecture search resources☆1,186Updated 5 years ago
- NASBench: A Neural Architecture Search Dataset and Benchmark☆704Updated 2 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,084Updated last year
- TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"☆1,582Updated 6 years ago
- PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"☆2,724Updated 2 years ago
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆631Updated 4 years ago
- ☆669Updated 4 years 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
- Differentiable architecture search for convolutional and recurrent networks☆3,979Updated 4 years ago
- Memory consumption and FLOP count estimates for convnets☆929Updated 6 years ago
- Papers for deep neural network compression and acceleration☆401Updated 4 years ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆952Updated 6 months ago
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,403Updated 2 years ago
- Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"☆966Updated 3 years ago
- PyTorch DataLoaders implemented with DALI for accelerating image preprocessing☆885Updated 5 years ago
- Model analyzer in PyTorch☆1,498Updated 2 years ago
- Codebase for Image Classification Research, written in PyTorch.☆2,165Updated last year
- Network Slimming (Pytorch) (ICCV 2017)☆915Updated 4 years ago