Replaces manual architecture design with automated search algorithms implemented in PyTorch. Features standardized benchmarks like NAS-Bench-201 to ensure reproducible and fair comparisons in AutoML research.
Tech Stack
PythonAI, ML & Data
Why AutoDL-Projects?
• Implements latest NAS research
• Clean, modular PyTorch code
• Includes pre-calculated benchmarks
Limitations
• Research-oriented, not production-ready
• Requires deep understanding of NAS
• Minimal GUI/Dashboarding
3/2/2026
Last Update
287
Forks
16
Issues
MIT
License
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