RymaBmzz

RymaBmzz's Stars

• susanli2016/Machine-Learning-with-Python

  Python code for common Machine Learning Algorithms

  Language:Jupyter Notebook4.3k269374.8k

• PAIR-code/lit

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

  Language:TypeScript3.5k68134353

• interpretml/DiCE

  Generate Diverse Counterfactual Explanations for any machine learning model.

  Language:Python1.3k18169185

• albermax/innvestigate

  A toolbox to iNNvestigate neural networks' predictions!

  Language:Python1.3k35260233

• MatthieuCourbariaux/BinaryNet

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

  Language:Python1k6737346

• SelfExplainML/PiML-Toolbox

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

  Language:Jupyter Notebook9282354111

• LearnDataSci/articles

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

  Language:Jupyter Notebook5585071.1k

• pysathq/pysat

  A toolkit for SAT-based prototyping in Python

  Language:Python3861913569

• sebastian-lapuschkin/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.

  Language:Jupyter Notebook327201690

• ArrasL/LRP_for_LSTM

  Layer-wise Relevance Propagation (LRP) for LSTMs.

  Language:Python221131460

• guicho271828/aaai-template

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

  Language:TeX1664437

• ivmai/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)

  Language:C1146564

• charmlab/mace

  Model Agnostic Counterfactual Explanations

  Language:Python864711

• deel-ai/LARD

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

  Language:Jupyter Notebook84147

• OpenXAIProject/Tutorials

  tutorials of XAI project

  Language:Jupyter Notebook7314133

• OpenXAIProject/PyConKorea2019-Tutorials

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

  Language:Jupyter Notebook6716323

• wannesm/PySDD

  Python package for Sentential Decision Diagrams (SDD)

  Language:Cython5371317

• christophM/explain-ml

  Language:Python345110

• meelgroup/manthan

  Manthan for Boolean function synthesis

  Language:Python28387

• alexeyignatiev/mkplot

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

  Language:Python232011

• liffiton/PyMiniSolvers

  A Python API for the MiniSat and MiniCard constraint solvers.

  Language:C++19306

• liffiton/MARCO

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

  Language:C++17203

• crillab/metrics

  mETRICS - rEproducible sofTware peRformance analysIs in perfeCt Simplicity

  Language:Python11610

• CeciPani/MARLENA

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

  Language:Jupyter Notebook7000

• arteagac/arteagac.github.io

  Personal Website

  Language:Jupyter Notebook5303

• DefIntpMan/ATEX

  Language:Python510

• art-ai/nnf2sdd

  NNF compiler based on PySDD

  Language:Python3002

• nnarodytska/VERRNN

  Verification of Recurrent Neural Networks for Cognitive Tasks via Reachability Analysis

  Language:Python3501

• riccotti/ExplainMultilabelClassifiers

  MARLENA - Explain Multilabel Classifiers

  Language:Jupyter Notebook2211

• tias/nn_learn_solve

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

  Language:Jupyter Notebook2302