A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
☆855Jun 19, 2021Updated 4 years ago
Alternatives and similar repositories for awesome-AutoML-and-Lightweight-Models
Users that are interested in awesome-AutoML-and-Lightweight-Models are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,337Sep 26, 2022Updated 3 years ago
- Automated deep learning algorithms implemented in PyTorch.☆1,588Apr 24, 2022Updated 3 years ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,449Aug 30, 2024Updated last year
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆395Dec 14, 2020Updated 5 years ago
- A curated list of automated machine learning papers, articles, tutorials, slides and projects☆4,150Jun 11, 2024Updated last year
- FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search☆304Jul 25, 2024Updated last year
- ☆668Aug 25, 2021Updated 4 years ago
- A curated list of awesome architecture search resources☆1,190Sep 15, 2020Updated 5 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,516Jun 7, 2020Updated 5 years ago
- Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"☆365Feb 18, 2020Updated 6 years ago
- Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)☆294Jul 4, 2020Updated 5 years ago
- Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search☆177Oct 3, 2023Updated 2 years ago
- A curated list of neural network pruning resources.☆2,491Apr 4, 2024Updated last year
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆352Jul 5, 2020Updated 5 years ago
- Multinomial Distribution Learning for Effective Neural Architecture Search☆208Jun 24, 2019Updated 6 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆448Nov 22, 2023Updated 2 years ago
- Differentiable architecture search for convolutional and recurrent networks☆3,993Jan 3, 2021Updated 5 years ago
- PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"☆2,725Jul 6, 2023Updated 2 years ago
- [ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'☆220Jun 8, 2020Updated 5 years ago
- ☆298May 11, 2020Updated 5 years ago
- An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.☆2,911Mar 31, 2023Updated 2 years ago
- PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"☆37Oct 18, 2022Updated 3 years ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆954Apr 4, 2025Updated 11 months ago
- AutoML tools chain☆851Feb 15, 2023Updated 3 years ago
- ☆1,510Aug 27, 2020Updated 5 years ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆929Mar 9, 2023Updated 3 years ago
- Mobile vision models and code☆920Feb 11, 2026Updated last month
- a list of awesome papers on deep model ompression and acceleration☆349Jun 19, 2021Updated 4 years ago
- Neural Architecture Optimization☆284Jan 11, 2021Updated 5 years ago
- Neural architecture search(NAS)☆14Apr 22, 2019Updated 6 years ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,943Dec 14, 2023Updated 2 years ago
- Bridging the gap Between Stability and Scalability in Neural Architecture Search☆143Aug 17, 2021Updated 4 years ago
- PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search☆444Jul 3, 2020Updated 5 years ago
- micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…☆2,270May 6, 2025Updated 10 months ago
- Curating a list of AutoML-related research, tools, projects and other resources☆916Mar 8, 2026Updated 2 weeks ago
- ☆207Nov 18, 2019Updated 6 years ago
- A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.☆275Aug 15, 2018Updated 7 years ago
- NASBench: A Neural Architecture Search Dataset and Benchmark☆715May 1, 2023Updated 2 years ago
- ☆266Oct 30, 2019Updated 6 years ago