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  1. Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

    Python 454 67

  2. Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data

    Python 464 141

  3. Estimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compatible)

    Python 185 24

  4. Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)

    Python 35 4

  5. 3D road line extraction, bird's-eye view projection, and junction detection for ROS stereo images

    Python 28 8

  6. Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)

    Python 42 2

6 contributions in the last year

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Contribution activity

April 2021

tmadl has no activity yet for this period.

March 2021

Created 1 commit in 1 repository
Created 1 repository

Opened their first pull request on GitHub in pnpolcher/gc-sagemaker-drive

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