Highlights
- Pro
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- sklearn-expertsys
sklearn-expertsys PublicHighly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
- semisup-learn
semisup-learn PublicSemi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
- highdimensional-decision-boundary-plot
highdimensional-decision-boundary-plot PublicEstimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compatible)
- ROS-road-line-junction-extraction
ROS-road-line-junction-extraction Public3D road line extraction, bird's-eye view projection, and junction detection for ROS stereo images
- distill-lint
distill-lint PublicDetect and remove unwanted single-token biases in distilled LLMs inherited via subliminal transfer: biases that ride output-embedding geometry even when the target token is masked from the loss.
Python 1
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