A comprehensive toolkit for neural architecture search and hyper-parameter optimization. It automates feature engineering and model compression to streamline the machine learning development pipeline.
Tech Stack
PythonAI, ML & Data
Why nni?
• Supports many ML frameworks
• Advanced tuning algorithms
• Scalable to cluster environments
Limitations
• Complex configuration files
• Resource intensive
• Steep learning curve for NAS
3/5/2026
Last Update
1,853
Forks
415
Issues
MIT
License
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