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Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.

Jupyter Notebook 190 24 Updated Jan 14, 2024

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A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

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Lightweight, useful implementation of conformal prediction on real data.

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A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

Python 228 32 Updated Oct 16, 2024

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IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

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🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

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NILM-EVAL: An evaluation framework for non-intrusive load monitoring algorithms

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Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path Planning library

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A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm

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Robopy is a python port for Robotics Toolbox in Matlab created by Peter Corke

Python 220 47 Updated Feb 10, 2021
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