D-X-Y/AutoDL-Projects
PyTorch-based toolkit for automated neural architecture search and hyperparameter optimization.
Not currently ranked — collecting fresh signals.
star history
AutoDL-Projects provides implementations of neural architecture search and hyper-parameter optimization algorithms in a unified codebase. It enables researchers and engineers to experiment with automated deep learning techniques including DARTS, TAS, and other NAS methods. The project is designed to be lightweight with minimal dependencies and targets both beginners learning AutoML and researchers developing new automated training algorithms.
Frequently asked
- What is D-X-Y/AutoDL-Projects?
- PyTorch-based toolkit for automated neural architecture search and hyperparameter optimization.
- Is AutoDL-Projects open source?
- Yes — D-X-Y/AutoDL-Projects is open source, released under the MIT license.
- What language is AutoDL-Projects written in?
- D-X-Y/AutoDL-Projects is primarily written in Python.
- How popular is AutoDL-Projects?
- D-X-Y/AutoDL-Projects has 1.6k stars on GitHub.
- Where can I find AutoDL-Projects?
- D-X-Y/AutoDL-Projects is on GitHub at https://github.com/D-X-Y/AutoDL-Projects.