oraios/sensAI
The Python library for sensible AI.
This is a high-level toolkit designed for data scientists and machine learning engineers to quickly build and experiment with AI models. It streamlines the process of preparing data and applying various models, letting you focus on the problem rather than boilerplate code. You provide raw data, and it helps you efficiently generate features, train different types of models, and evaluate their performance.
Available on PyPI.
Use this if you are a data scientist or ML engineer who needs to rapidly prototype, compare, and deploy machine learning models using various frameworks like PyTorch or scikit-learn, while ensuring data processing consistency.
Not ideal if you need a very low-level, granular control over every aspect of model implementation without any abstraction, or if you only work with a single, highly specialized model type.
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72
Forks
12
Language
Python
License
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Last pushed
Mar 02, 2026
Commits (30d)
0
Dependencies
5
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