huawei-noah / vegaLinks
AutoML tools chain
☆851Updated 2 years ago
Alternatives and similar repositories for vega
Users that are interested in vega are comparing it to the libraries listed below
Sorting:
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆854Updated 4 years ago
- Automated deep learning algorithms implemented in PyTorch.☆1,583Updated 3 years ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,448Updated last year
- ☆668Updated 4 years ago
- ☆196Updated last year
- FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search☆303Updated last year
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,310Updated 3 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆444Updated last year
- Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"☆964Updated 3 years ago
- NASBench: A Neural Architecture Search Dataset and Benchmark☆702Updated 2 years ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆953Updated 6 months ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,930Updated last year
- Mobile vision models and code☆915Updated 2 weeks ago
- Bolt is a deep learning library with high performance and heterogeneous flexibility.☆952Updated 5 months ago
- A curated list of awesome architecture search resources☆1,188Updated 5 years ago
- Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"☆364Updated 5 years ago
- PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search☆440Updated 5 years ago
- Papers for deep neural network compression and acceleration☆401Updated 4 years ago
- Model Quantization Benchmark☆840Updated 5 months ago
- PyTorch Implementation of DARTS: Differentiable Architecture Search☆447Updated 3 years ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆926Updated 2 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,516Updated 5 years ago
- Paper lists of neural architecture search (NAS)☆135Updated 4 years ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆354Updated 5 years ago
- ☆227Updated 4 years ago
- micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…☆2,256Updated 5 months ago
- Summary, Code for Deep Neural Network Quantization☆554Updated 3 months ago
- aw_nas: A Modularized and Extensible NAS Framework☆250Updated 2 years ago
- Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174☆603Updated 5 years ago
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,084Updated last year