A library for debugging/inspecting machine learning classifiers and explaining their predictions
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TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
A framework for building decision-model harnesses for any kind of task. Your program offers the model a short list of next steps, and the model picks one at a time until it can answer.
- classifiers
- decision-models
- evals
- llm-harness
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
- shapley
- shapley-value
- owen
- voting-classifier
Effects of packers on machine-learning-based malware classifiers that use only static analysis
This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial example for image classifiers.
Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.
- data-science
- model-explanation