interpretable-ai

Here are 106 public repositories matching this topic...

OptimizingMind / optimizingmind.github.io

Optimizing Mind static website v1

machine-learning ai machine-learning-algorithms ml artificial-intelligence artificial-neural-networks artificial-general-intelligence machinelearning machine-learning-api artificial-neural-network machine-intelligence artificial-intelligence-algorithms interpretability artifical-intelligense explainable-artificial-intelligence illuminated-ai interpretable-ai interpretable-ml explainable-ai explainable-ml

Updated Oct 4, 2018
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Jihunlee326 / InterpretableAI

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

interpretable-ai interpretable-ml

Updated Nov 11, 2018

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
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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

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

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

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

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

lorarjohns / explainable-machine-learning

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explainable and interpretable methods for AI and data science

interpretable-ai interpretable-ml explainable-ai explainable-ml

Updated May 2, 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

ashwinkolhatkar / XAI-Blockchain

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B.Tech Project

blockchain college-project interpretable-ai xai interpretable-machine-learning

Updated May 9, 2020
Python

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

jaygshah / Interpretable-AI

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Personal collection of resources to get started on Interpretability in AI (... still being updated ...)

interpretability interpretable-deep-learning interpretable-ai interpretable-machine-learning

Updated Jul 29, 2020

fpretto / interpretable_and_fair_ml

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Interpretability and Fairness in Machine Learning

interpretable-deep-learning interpretable-ai interpretable-ml interpretable-machine-learning fairness-ai model-interpretability fairness-ml

Updated Aug 5, 2020
Jupyter Notebook

h2oai / mli-resources

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H2O.ai Machine Learning Interpretability Resources

Updated Dec 12, 2020
Jupyter Notebook

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
Jupyter Notebook

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

roye10 / ShapleyLorenz

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IN PROGRESS - after the paper "Shapley-Lorenz decompositions in eXplainable Artificial Intelligence" by Giudici and Raffinetti - 2020

machine-learning interpretation feature-importance interpretable-ai global-explanation shapley-lorenz-decompositions lorenz-zonoid

Updated Mar 2, 2021
Python

parantapa / integrated-directional-gradients

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Implementation of the Integrated Directional Gradients method for Deep Neural Network model explanations.

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

Updated Aug 25, 2021
Python

ClementSicard / Reliable-and-Trustworthy-AI-Notebooks

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Reliable and Trustworthy Intelligence AI notebooks from ETH Zurich course taught by Prof. Dr. Martin Vechev

neural-networks interpretable-ai trustworthy-ai reliable-ai

Updated Nov 7, 2021
Jupyter Notebook

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interpretable-ai

Here are 106 public repositories matching this topic...

OptimizingMind / optimizingmind.github.io

Jihunlee326 / InterpretableAI

gudovskiy / e2x

jphall663 / jsm_2018_paper

jialinwu17 / self_critical_vqa

jphall663 / hc_ml

jnikhilreddy / Explainable-AI-papers-Year-wise

TooTouch / WhiteBox-Part1

lorarjohns / explainable-machine-learning

h2oai / article-information-2019

ashwinkolhatkar / XAI-Blockchain

deepfx / netlens

jaygshah / Interpretable-AI

fpretto / interpretable_and_fair_ml

h2oai / mli-resources

akifcinar / Machine_Learning_Interpretability

andrewli77 / DISC

roye10 / ShapleyLorenz

parantapa / integrated-directional-gradients

ClementSicard / Reliable-and-Trustworthy-AI-Notebooks

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