Interpret is an interpretable machine learning library and glassbox model framework. It provides toolkits for training inherently transparent models and applying post-hoc explanation techniques to make machine learning predictions human-understandable. The framework distinguishes itself by integrating differential privacy into the training of interpretable models to prevent sensitive data from leaking through explanations. It also features a visualization tool for rendering interactive decision paths and model behavior. The library covers model explainability through feature importance calcu
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Principalele funcționalități ale benedekrozemberczki/shapley sunt: Explainable AI Libraries, General Machine Learning, Machine Learning, Model Interpretation, Data Science Tooling, Data Science Tools.
Alternativele open-source pentru benedekrozemberczki/shapley includ: benedekrozemberczki/littleballoffur — Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020). interpretml/interpret — Interpret is an interpretable machine learning library and glassbox model framework. It provides toolkits for training… benedekrozemberczki/karateclub — Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020). christophm/rulefit — Python implementation of the rulefit algorithm. astrazeneca/rexmex — A general purpose recommender metrics library for fair evaluation. astrazeneca/chemicalx — A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022).