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interpretable-ai

Here are 39 public repositories matching this topic...

interpretml / interpret

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Open

Interpret

5

wh3nd1g0h commented Jul 29, 2020

Yes

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good first issue

jacobgil / pytorch-grad-cam

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Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

deep-learning grad-cam pytorch visualizations interpretability class-activation-maps interpretable-deep-learning interpretable-ai score-cam vision-transformers

Updated Sep 13, 2021
Python

pytorch / captum

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Model interpretability and understanding for PyTorch

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

Updated Sep 11, 2021
Python

jphall663 / awesome-machine-learning-interpretability

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A curated list of awesome machine learning interpretability resources.

python data-science machine-learning data-mining awesome r awesome-list transparency fairness accountability interpretability interpretable-deep-learning interpretable-ai interpretable-ml explainable-ml xai fatml interpretable-machine-learning iml machine-learning-interpretability

Updated Sep 2, 2021

lopusz / awesome-interpretable-machine-learning

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

Updated Jul 9, 2020
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.

python data-science machine-learning data-mining h2o gradient-boosting-machine transparency decision-tree fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability

Updated Feb 10, 2021
Jupyter Notebook

h2oai / mli-resources

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H2O.ai Machine Learning Interpretability Resources

python data-science machine-learning data-mining h2o xgboost transparency jupyter-notebooks fairness accountability interpretability interpretable-ai interpretable-ml explainable-ml mli xai fatml interpretable-machine-learning iml machine-learning-interpretability

Updated Dec 12, 2020
Jupyter Notebook

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 Sep 11, 2021

explainx

explainX / explainx

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Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

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 Feb 7, 2021
Jupyter Notebook

adversarial-explainable-ai

hbaniecki / adversarial-explainable-ai

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💡 Adversarial attacks on model explanations, and evaluation approaches

security evaluations attacks interpretability adversarial-machine-learning adversarial-examples adversarial-attacks model-explanation interpretable-deep-learning interpretable-ai explainable-ai explainable-ml xai interpretable-machine-learning iml explainability responsible-ai adversarial-defense adversarial-xai

Updated Sep 10, 2021

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 Aug 11, 2021
HTML

fat-forensics / fat-forensics

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Modular Python Toolbox for Fairness, Accountability and Transparency Forensics

machine-learning transparency fairness accountability interpretability interpretable-ai explainable-ai explainability

Updated Jan 25, 2021
Python

TooTouch / WhiteBox-Part1

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In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

machine-learning computer-vision deep-learning grad-cam mnist gradients backpropagation blackbox saliency-map cifar-10 smoothgrad guided-backpropagation interpretable-ai explainable-ai integrated-gradients evaluate-models

Updated Mar 4, 2020
Jupyter Notebook

jialinwu17 / self_critical_vqa

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Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''

vqa visual-question-answering interpretable-deep-learning interpretable-ai explainable-ai

Updated Sep 9, 2019
Python

koriavinash1 / BioExp

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Explainability of Deep Learning Models

clustering rct uncertainty intervention causality causal-inference concept-extraction interpretability interpretable-ai explainable-ai gradcam ablation explainability dissection joint-analysis activation-maximization

Updated Aug 25, 2021
Python

navdeep-G / interpretable-ml

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Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

python data-science machine-learning data-mining gradient-boosting-machine transparency decision-trees fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability

Updated Jul 27, 2021
Jupyter Notebook

jphall663 / hc_ml

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Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.

data-science machine-learning data-mining transparency fairness accountability interpretability interpretable-ai interpretable-ml explainable-ai explainable-ml xai fatml interpretable-machine-learning iml machine-learning-interpretability fairness-ai fairness-ml

Updated Nov 19, 2019
TeX

deepfx / netlens

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A toolkit for interpreting and analyzing neural networks (vision)

deep-learning artificial-intelligence neural-networks image-optimization artistic-style-transfer neural-style-transfer interpretable-ai interpretable-machine-learning

Updated Jul 28, 2020
Jupyter Notebook

h2oai / article-information-2019

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Article for Special Edition of Information: Machine Learning with Python

python data-science machine-learning interpretable-ai interpretable-ml explainable-ai explainable-ml xai fatml fairness-testing interpretable-machine-learning iml machine-learning-interpretability fairness-ai fairness-ml

Updated May 6, 2020
Jupyter Notebook

pnxenopoulos / cav-keras

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Concept activation vectors for Keras

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

Updated Aug 25, 2021
Python

12wang3 / mllp

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The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

machine-learning transparency aaai interpretability rule-based interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml machine-learning-interpretability explainability rule-sets interpretml transparent-ml

Updated Aug 24, 2021
Python

jphall663 / jsm_2018_paper

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Paper for 2018 Joint Statistical Meetings: https://ww2.amstat.org/meetings/jsm/2018/onlineprogram/AbstractDetails.cfm?abstractid=329539

python data-science machine-learning data-mining transparency interpretability interpretable-ai interpretable-ml explainable-ml xai fatml interpretable-machine-learning iml machine-learning-interpretability

Updated Dec 7, 2018
TeX

si-cim / prototorch

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ProtoTorch is a PyTorch-based Python toolbox for bleeding-edge research in prototype-based machine learning algorithms.

python machine-learning pytorch interpretable-ai lvq

Updated Aug 30, 2021
Python

gudovskiy / e2x

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Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions

caffe ssd object-detection interpretable-deep-learning interpretable-ai explainable-ai explainable-ml e2x

Updated Nov 22, 2018
C++

CeciPani / MARLENA

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

python3 explanation interpretability multilabel multilabel-classification explainable-artificial-intelligence interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning explainability multilabel-model xai-library

Updated Sep 8, 2021
Jupyter Notebook

jnikhilreddy / Explainable-AI-papers-Year-wise

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List of papers in the area of Explainable Artificial Intelligence Year wise

machine-learning deep-neural-networks deep-learning interpretability explainable-artificial-intelligence interpretable-deep-learning interpretable-ai explainable-ai explainable-ml interpretable-machine-learning explanability

Updated Feb 26, 2020

DISC

andrewli77 / DISC

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This repository contains an implementation of DISC, an algorithm for learning DFAs for multiclass sequence classification.

dfa sequence-classification interpretable-ai interpretable-ml dfa-construction early-detection interpretable-machine-learning automata-learning

Updated Feb 24, 2021
Python

printfoo / factcheck-acl2021

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Fact-check rationalization paper @ ACL 2021.

nlp misinformation interpretable-ai factcheck rationalization

Updated Sep 8, 2021
Python

Jihunlee326 / InterpretableAI

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Interpretable AI with Safeguard AI (paper study, implement-code review)

interpretable-ai interpretable-ml

Updated Nov 11, 2018

akifcinar / Machine_Learning_Interpretability

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Overview of machine learning interpretation techniques and their implementations

python data-science machine-learning transparency interpretation interpretability model-interpretation interpretable-ai interpretable-ml mli xai interpretable-machine-learning machine-learning-interpretability interpretable-classifcation

Updated Jan 5, 2021
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