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sktime
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
OPENAGENTSKILL / DIRECTORY
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sktime
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
eriklindernoren
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from li…
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…
MilesCranmer
High-Performance Symbolic Regression in Python and Julia
serengil
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random For…
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