automl/neps
Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
This tool helps deep learning experts streamline the process of finding the optimal architecture and settings for their neural networks. You provide your model and define the range of parameters to explore, and the tool intelligently searches for the best combination. The output is an optimized neural pipeline that performs best for your specific deep learning task, saving significant time and computational resources for deep learning experts and researchers.
Use this if you are a deep learning expert looking to efficiently tune hyperparameters and explore neural architectures for your models, especially when dealing with complex deep learning pipelines and large search spaces.
Not ideal if you are new to deep learning or only need basic model training without extensive hyperparameter optimization or neural architecture search.
Stars
78
Forks
20
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
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