#

interpretable-ai

Here are 62 public repositories matching this topic...

jacobgil / pytorch-grad-cam

Advanced AI Explainability for computer vision. Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples and applications for classification, object detection, segmentation, explaining image similarity and more.

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

Updated Jul 9, 2022
Python

interpretml / interpret

Open

Interpret

5

wh3nd1g0h commented Jul 29, 2020

Yes

Read more

good first issue

pytorch / captum

Model interpretability and understanding for PyTorch

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

Updated Jul 18, 2022
Python

jphall663 / awesome-machine-learning-interpretability

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 Jun 3, 2022

lopusz / awesome-interpretable-machine-learning

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

Updated Jul 9, 2020
Python

wangyongjie-ntu / Awesome-explainable-AI

A collection of research materials on explainable AI/ML

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

Updated Jul 13, 2022

jphall663 / interpretable_machine_learning_with_python

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 Jun 22, 2022
Jupyter Notebook

h2oai / mli-resources

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

explainx

explainX / explainx

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 Jun 22, 2022
Jupyter Notebook

adversarial-explainable-ai

hbaniecki / adversarial-explainable-ai

Sponsor

💡 Adversarial attacks on model explanations, and evaluation approaches

security evaluations attacks interpretability robustness 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 Jul 1, 2022

andreysharapov / xaience

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 May 22, 2022
HTML

chr5tphr / zennit

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 Jul 18, 2022
Python

fat-forensics / fat-forensics

Modular Python Toolbox for Fairness, Accountability and Transparency Forensics

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

Updated Apr 10, 2022
Python

12wang3 / rrl

The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification".

scalability representation-learning nips interpretability interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml explainability neurips interpretable-classification rule-based-model neuro-symbolic-ai

Updated Feb 9, 2022
Python

adrhill / ExplainableAI.jl

XAI in Julia using Flux.

flux deep-learning julia interpretability interpretable-ai xai lrp feature-attribution

Updated Jul 4, 2022
Julia

ajayarunachalam / Deep_XF

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 27, 2021
Jupyter Notebook

jialinwu17 / self_critical_vqa

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

TooTouch / WhiteBox-Part1

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

adaamko / POTATO

XAI based human-in-the-loop framework for automatic rule-learning.

nlp information-extraction classification nlp-machine-learning interpretable-ai explainable-ai explainable-ml interpretable-machine-learning explainability

Updated Jul 4, 2022
Jupyter Notebook

koriavinash1 / BioExp

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 May 26, 2022
Python

jphall663 / hc_ml

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

navdeep-G / interpretable-ml

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 Jun 21, 2022
Jupyter Notebook

deepfx / netlens

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

12wang3 / mllp

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 Dec 3, 2021
Python

h2oai / article-information-2019

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

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 Jun 21, 2022
Python

si-cim / prototorch

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 May 17, 2022
Python

jphall663 / jsm_2018_paper

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

prclibo / ice

Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN

pytorch gan interpretability face-generation explainable-artificial-intelligence interpretable-deep-learning interpretable-ai explainable-ai explainable-ml face-manipulation explainability face-editing counterfactual-explanations stylegan2 explainable-machine-learning

Updated Jan 5, 2022
Jupyter Notebook

gudovskiy / e2x

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++

Improve this page

Add a description, image, and links to the interpretable-ai topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the interpretable-ai topic, visit your repo's landing page and select "manage topics."