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Starred repositories
A runway dataset and a generator of synthetic aerial images with automatic labeling.
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
A python library to agnostically explain multi-label black-box classifiers (tabular data)
MARLENA - Explain Multilabel Classifiers
Notebooks for a practical session on training a digit classifier and using it to solve visual sudoku's
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
Tutorials about Layer-wise Relevance Propagation (LRP) and SHapley Additive exPlanations (SHAP)
The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe D…
Layer-wise Relevance Propagation (LRP) for LSTMs.
A toolbox to iNNvestigate neural networks' predictions!
Generate Diverse Counterfactual Explanations for any machine learning model.
mETRICS - rEproducible sofTware peRformance analysIs in perfeCt Simplicity
Verification of Recurrent Neural Networks for Cognitive Tasks via Reachability Analysis
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Python code for common Machine Learning Algorithms
A Python script to create cactus and scatter plots based on matplotlib
latex template for various conferences, as well as wise-man's overleaf (overleaf is terrible!)
CUDD: CU Decision Diagram package - unofficial git mirror of https://web.archive.org/web/20180127051756/https://vlsi.colorado.edu/~fabio/CUDD/html/index.html (intro: https://web.archive.org/web/2015…
A Python API for the MiniSat and MiniCard constraint solvers.
A Python implementation of the MARCO/MARCOs algorithm for enumerating MUSes and MSS/MCSes of infeasible constraint systems.