dmarx/dmarx-github-stars huggingface dataset:
Repository: uncertainty-toolbox/uncertainty-toolbox
Description: Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Language: Python
Topics: bayesian-deep-learning, bayesian-neural-networks, calibration, metrics, predictive-uncertainty, recalibration, scoring-rules, sharpness, toolbox, uncertainty, uncertainty-calibration, uncertainty-estimation, uncertainty-metrics, uncertainty-quantification, uncertainty-toolbox, visualization, visualizations
Homepage: https://uncertainty-toolbox.github.io
Repository: interpretml/interpret
Description: Fit interpretable models. Explain blackbox machine learning. 
Language: C++
Topics: ai, artificial-intelligence, bias, blackbox, differential-privacy, explainability, explainable-ai, explainable-ml, gradient-boosting, iml, interpretability, interpretable-ai, interpretable-machine-learning, interpretable-ml, interpretml, machine-learning, scikit-learn, transparency, xai
Homepage: https://interpret.ml/docs