xplique

Neural network interpreter

An Explainable AI toolbox that provides various methods and tools to understand and interpret the behavior of neural networks

👋 Xplique is a Neural Networks Explainability Toolbox

GitHub

654 stars
12 watching
53 forks
Language: Python
last commit: 2 months ago
explainable-aiexplainable-mlinterpretabilityxai

Related projects:

Repository Description Stars
ethicalml/xai An eXplainability toolbox for machine learning that enables data analysis and model evaluation to mitigate biases and improve performance 1,135
datamllab/xdeep Provides tools for interpreting deep neural networks 42
pbiecek/xai_resources A collection of resources and papers related to Explainable Artificial Intelligence (XAI) for machine learning model interpretability. 819
understandable-machine-intelligence-lab/quantus An eXplainable AI toolkit for evaluating and interpreting neural network explanations in various deep learning frameworks. 567
trusted-ai/aix360 A toolkit for explaining complex AI models and data-driven insights 1,641
dianna-ai/dianna A Python package providing an explainable AI interface to research projects 49
pbiecek/xaiaterum2020 An R package and workshop materials for explaining machine learning models using explainable AI techniques 52
andreysharapov/xaience An online repository providing resources and information on explainable AI, algorithmic fairness, ML security, and related topics 107
vlall/swift-brain A collection of algorithms and data structures for artificial intelligence and machine learning in Swift 335
csinva/imodels An open-source package that provides interpretable machine learning models compatible with scikit-learn. 1,406
molcik/python-neuron A Python library for implementing and training various neural network architectures 40
h2oai/mli-resources Provides tools and techniques for interpreting machine learning models 483
csinva/hierarchical-dnn-interpretations Provides an implementation of Hierarchical explanations for Neural Network predictions 127
kevincoble/aitoolbox A toolbox of AI modules written in Swift for various machine learning tasks and algorithms 794
interpretml/dice Provides counterfactual explanations for machine learning models to facilitate interpretability and understanding. 1,373