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Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

lit

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

innvestigate

A toolbox to iNNvestigate neural networks' predictions!

BinaryNet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

PiML-Toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

articles

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

pysat

A toolkit for SAT-based prototyping in Python

lrp_toolbox

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 Deep Learning Framework as an extension of Caffe source code published in 10/2015.

LRP_for_LSTM

Layer-wise Relevance Propagation (LRP) for LSTMs.

aaai-template

latex template for various conferences, as well as wise-man's overleaf (overleaf is terrible!)

cudd

CUDD: CU Decision Diagram package - unofficial git mirror of https://web.archive.org/web/20180127051756/http://vlsi.colorado.edu/~fabio/CUDD/html/index.html (intro: https://web.archive.org/web/20150215010018/http://vlsi.colorado.edu/~fabio/CUDD/cuddIntro.html)

mace

Model Agnostic Counterfactual Explanations

LARD

A runway dataset and a generator of synthetic aerial images with automatic labeling.

Tutorials

tutorials of XAI project

PyConKorea2019-Tutorials

Tutorials about Layer-wise Relevance Propagation (LRP) and SHapley Additive exPlanations (SHAP)

PySDD

Python package for Sentential Decision Diagrams (SDD)

explain-ml

manthan

Manthan for Boolean function synthesis

mkplot

A Python script to create cactus and scatter plots based on matplotlib

PyMiniSolvers

A Python API for the MiniSat and MiniCard constraint solvers.

MARCO

A Python implementation of the MARCO/MARCOs algorithm for enumerating MUSes and MSS/MCSes of infeasible constraint systems.

metrics

mETRICS - rEproducible sofTware peRformance analysIs in perfeCt Simplicity

MARLENA

A python library to agnostically explain multi-label black-box classifiers (tabular data)

arteagac.github.io

Personal Website

ATEX

nnf2sdd

NNF compiler based on PySDD

VERRNN

Verification of Recurrent Neural Networks for Cognitive Tasks via Reachability Analysis

ExplainMultilabelClassifiers

MARLENA - Explain Multilabel Classifiers

nn_learn_solve

Notebooks for a practical session on training a digit classifier and using it to solve visual sudoku's