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interpretable-ai

Here are 52 public repositories matching this topic...

jacobgil / pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. 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 Apr 23, 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 Apr 26, 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 Jan 5, 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 May 3, 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 Feb 10, 2021
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 Jan 7, 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 Apr 27, 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 Feb 10, 2022
HTML

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

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

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 May 2, 2022
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

adrhill / ExplainableAI.jl

XAI in Julia using Flux.

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

Updated Apr 11, 2022
Julia

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 May 3, 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 Feb 9, 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 Mar 12, 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 Feb 10, 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 Apr 27, 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++

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