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Author: S. Satish Kumar

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Trinity-Neo 1.0

An open-source, low-code machine learning library in Python

Trinity-Neo is an open-source, low-code machine learning library in Python that automates machine learning workflows. It is an end-to-end machine learning and model management tool that exponentially speeds up the experiment cycle and makes you more productive.

Compared with the other open-source machine learning libraries, Trinity-Neo is an alternate low-code library that can be used to replace hundreds of lines of code with a few lines only. This makes experiments exponentially fast and efficient. Trinity-Neo is essentially a Python wrapper around several machine learning libraries and frameworks, such as scikit-learn, Pycaret, Multirake, NLP, XGBoost, LightGBM, CatBoost, spaCy, Optuna, Hyperopt, Ray, and a few more.