interpretable-ai

Here are 99 public repositories matching this topic...

jacobgil / pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

machine-learning computer-vision deep-learning grad-cam pytorch image-classification object-detection visualizations interpretability class-activation-maps interpretable-deep-learning interpretable-ai explainable-ai explainable-ml xai score-cam vision-transformers

Updated Mar 18, 2024
Python

interpretml / interpret

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Fit interpretable models. Explain blackbox machine learning.

machine-learning ai scikit-learn artificial-intelligence transparency blackbox bias differential-privacy gradient-boosting interpretability interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml explainability interpretml

Updated Apr 25, 2024
C++

pytorch / captum

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Model interpretability and understanding for PyTorch

interpretability feature-importance interpretable-ai interpretable-ml feature-attribution

Updated Apr 25, 2024
Python

jphall663 / awesome-machine-learning-interpretability

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A curated list of awesome responsible machine learning resources.

Updated Apr 27, 2024

wangyongjie-ntu / Awesome-explainable-AI

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A collection of research materials on explainable AI/ML

xml interpretability explanation-system interpretable-ai explainable-ai xai counterfactual-explanations recourse

Updated Apr 13, 2024

lopusz / awesome-interpretable-machine-learning

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data-science machine-learning interpretable-ai interpretable-ml explainable-ai xai interpretable-machine-learning

Updated Mar 19, 2023
Python

jphall663 / interpretable_machine_learning_with_python

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Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Updated Feb 27, 2023
Jupyter Notebook

h2oai / mli-resources

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H2O.ai Machine Learning Interpretability Resources

Updated Dec 12, 2020
Jupyter Notebook

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

machine-learning scikit-learn transparency blackbox bias interpretability explainable-artificial-intelligence interpretable-ai explainable-ai explainable-ml xai interpretable-machine-learning machine-learning-interpretability explainability aws-sagemaker explainx

Updated Mar 1, 2024
Jupyter Notebook

chr5tphr / zennit

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Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

python machine-learning deep-learning attribution pytorch interpretability interpretable-ai interpretable-ml explainable-ai xai lrp explainability feature-attribution

Updated Apr 9, 2024
Python

pietrobarbiero / pytorch_explain

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PyTorch Explain: Interpretable Deep Learning in Python.

python machine-learning entropy deep-learning neural-network logic pytorch lens sympy interpretability interpretable-deep-learning interpretable-ai explainable-ai interpretable-machine-learning explainability

Updated Mar 18, 2024
Jupyter Notebook

ajayarunachalam / Deep_XF

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Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

python machine-learning deep-neural-networks timeseries deep-learning time-series forecasting multivariate ecg-signal sensors forecasting-models time-series-analysis auto-ml interpretable-ai explainable-ml siamese-neural-network auto-timeseries nowcasting-models

Updated Dec 8, 2022
Jupyter Notebook

andreysharapov / xaience

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All about explainable AI, algorithmic fairness and more

interpretability explainable-artificial-intelligence interpretable-deep-learning interpretable-ai explainable-ai explainable-ml interpretable-machine-learning

Updated Sep 24, 2023
HTML

Julia-XAI / ExplainableAI.jl

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Explainable AI in Julia.

julia interpretability interpretable-ai explainable-ai xai lrp feature-attribution attribution-methods

Updated Mar 6, 2024
Julia

12wang3 / rrl

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The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"