interpretable-ai

There are 11 repositories under interpretable-ai topic.

jacobgil / pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
class-activation-maps computer-vision deep-learning explainable-ai explainable-ml grad-cam image-classification interpretability interpretable-ai interpretable-deep-learning machine-learning object-detection pytorch score-cam vision-transformers visualizations xai
Language:Python 9389
interpretml / interpret
Fit interpretable models. Explain blackbox machine learning.
machine-learning interpretability gradient-boosting blackbox scikit-learn xai interpretml interpretable-machine-learning interpretable-ai transparency iml interpretable-ml explainable-ml explainability bias ai artificial-intelligence explainable-ai differential-privacy
Language:C++ 5986
pytorch / captum
Model interpretability and understanding for PyTorch
feature-attribution feature-importance interpretability interpretable-ai interpretable-ml
Language:Python 4552
jphall663 / awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
fairness xai interpretability transparency machine-learning data-science python r awesome awesome-list machine-learning-interpretability interpretable-machine-learning interpretable-ml interpretable-ai explainable-ml ai-safety privacy-enhancing-technologies privacy-preserving-machine-learning reliable-ai secure-ml
3417
wangyongjie-ntu / Awesome-explainable-AI
A collection of research materials on explainable AI/ML
interpretable-ai explainable-ai interpretability explanation-system xai xml counterfactual-explanations recourse
1266
lopusz / awesome-interpretable-machine-learning
interpretable-machine-learning interpretable-ml interpretable-ai xai explainable-ai machine-learning data-science
Language:Python 896
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.
machine-learning python fatml xai gradient-boosting-machine decision-tree data-science fairness interpretable-machine-learning interpretability machine-learning-interpretability iml accountability transparency data-mining interpretable-ml interpretable interpretable-ai lime h2o
Language:Jupyter Notebook 660
h2oai / mli-resources
H2O.ai Machine Learning Interpretability Resources
machine-learning python jupyter-notebooks interpretability data-science data-mining h2o mli xai fatml transparency accountability fairness xgboost machine-learning-interpretability iml interpretable-machine-learning interpretable-ml interpretable-ai explainable-ml
Language:Jupyter Notebook 478
explainx
explainX / explainx
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
explainable-ai explainable-artificial-intelligence machine-learning interpretability blackbox xai explainx interpretable-ai transparency bias interpretable-machine-learning aws-sagemaker explainability explainable-ml machine-learning-interpretability scikit-learn
Language:Jupyter Notebook 388
chr5tphr / zennit
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
lrp pytorch xai machine-learning attribution explainability python interpretability explainable-ai interpretable-ai feature-attribution interpretable-ml deep-learning
Language:Python 174
pietrobarbiero / pytorch_explain
PyTorch Explain: Interpretable Deep Learning in Python.
logic pytorch python machine-learning neural-network deep-learning explainability explainable-ai lens entropy sympy interpretability interpretable-ai interpretable-deep-learning interpretable-machine-learning
Language:Jupyter Notebook 127
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 forecasting nowcasting-models forecasting-models explainable-ml deep-neural-networks deep-learning time-series time-series-analysis auto-ml auto-timeseries interpretable-ai sensors timeseries multivariate ecg-signal siamese-neural-network machine-learning
Language:Jupyter Notebook 110
andreysharapov / xaience
All about explainable AI, algorithmic fairness and more
explainable-ai explainable-artificial-intelligence explainable-ml interpretable-machine-learning interpretable-ai interpretable-deep-learning interpretability
Language:HTML 106
Julia-XAI / ExplainableAI.jl
Explainable AI in Julia.
xai lrp interpretability interpretable-ai feature-attribution julia attribution-methods explainable-ai
Language:Julia 98
12wang3 / rrl
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"
interpretable-classification rule-based-model representation-learning scalability interpretable-ai interpretable-ml explainable-ai explainable-ml neurips nips xai interpretable-machine-learning iml interpretability explainability neuro-symbolic-ai
Language:Python 88
Machine-Learning
VincentGranville / Machine-Learning
Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generative AI.
explainable-ai interpretable-ai interpretable-machine-learning machine-learning
Language:Python 85
fat-forensics / fat-forensics
Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
machine-learning fairness accountability transparency interpretability explainability explainable-ai interpretable-ai
Language:Python 70
adaamko / POTATO
XAI based human-in-the-loop framework for automatic rule-learning.
nlp nlp-machine-learning explainable-ai explainable-ml explainability interpretable-machine-learning interpretable-ai classification information-extraction
Language:Jupyter Notebook 46
jialinwu17 / self_critical_vqa
Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''
vqa interpretable-deep-learning interpretable-ai explainable-ai visual-question-answering
Language:Python 40
TooTouch / WhiteBox-Part1
In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
explainable-ai deep-learning saliency-map interpretable-ai blackbox smoothgrad gradients backpropagation evaluate-models computer-vision machine-learning grad-cam guided-backpropagation integrated-gradients mnist cifar-10
Language:Jupyter Notebook 39
AthenaCore / AwesomeResponsibleAI
A curated list of awesome academic research, books, code of ethics, data sets, institutes, newsletters, principles, podcasts, reports, tools, regulations and standards related to Responsible AI and Human-Centered AI.
responsible-ai xai fairness-ai awesome-list ethical-ai explainable-ai interpretable-ai trustworthy-ai
32
linkedin / TE2Rules
Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
explainability explainable-ai interpretability interpretable-ai machine-learning random-forest rule-learning tree-ensembles xgboost
Language:Python 32
MarcoParola / pytorch-sidu
SIDU: SImilarity Difference and Uniqueness method for explainable AI
computer-vision deep-learning explainable-ai interpretable-ai pytorch saliency-map xai
Language:Python 30
koriavinash1 / BioExp
Explainability of Deep Learning Models
explainable-ai causal-inference causality dissection ablation rct intervention uncertainty activation-maximization gradcam clustering interpretability explainability concept-extraction joint-analysis interpretable-ai
Language:Python 28
willbakst / pytorch-lattice
A PyTorch implementation of constrained optimization and modeling techniques
constrained-optimization explainable-ai explainable-ml interpretable-ai interpretable-ml shape-constraints
Language:Python 25
guidelabs / infembed
Find the samples, in the test data, on which your (generative) model makes mistakes.
auditing classification-model generative-models llm ml ml-ops error-detection slice-discovery interpretable-ai
Language:Python 24
weimin17 / Multimodal_Transformer
A Multimodal Transformer: Fusing Clinical Notes With Structured EHR Data for Interpretable In-Hospital Mortality Prediction
ehr clinical-notes clinical-variables multimodal transformer interpretable-ai interpretability mortality-prediction mortality
Language:Python 24
naotoo1 / Beyond-Neural-Scaling
Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models
computer-vision deep-neural-networks interpretable-ai lvq prototype-based-models machine-learning python
Language:Python 23
jphall663 / hc_ml
Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
fairness xai interpretability iml fatml accountability transparency machine-learning data-science data-mining machine-learning-interpretability interpretable-machine-learning interpretable-ml interpretable-ai explainable-ai explainable-ml fairness-ai fairness-ml
Language:TeX 22
si-cim / prototorch
ProtoTorch is a PyTorch-based Python toolbox for bleeding-edge research in prototype-based machine learning algorithms.
pytorch machine-learning python lvq interpretable-ai
Language:Python 20
12wang3 / mllp
The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
transparency interpretability transparent-ml interpretable-ai explainable-ai xai interpretable-ml rule-based rule-sets aaai machine-learning-interpretability interpretable-machine-learning machine-learning explainable-ml iml explainability interpretml
Language:Python 19
navdeep-G / interpretable-ml
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
machine-learning machine-learning-interpretability interpretable-machine-learning python fatml xai gradient-boosting-machine decision-trees data-science fairness interpretability iml accountability transparency data-mining interpretable-ml interpretable interpretable-ai lime
Language:Jupyter Notebook 19
deepfx / netlens
A toolkit for interpreting and analyzing neural networks (vision)
deep-learning neural-style-transfer neural-networks interpretable-machine-learning artificial-intelligence artistic-style-transfer image-optimization interpretable-ai
Language:Jupyter Notebook 16
prclibo / ice
Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN
stylegan2 gan explainable-ai interpretable-ai interpretability explainability face-manipulation face-editing face-generation counterfactual-explanations pytorch explainable-ml interpretable-deep-learning explainable-artificial-intelligence explainable-machine-learning
Language:Jupyter Notebook 15
cwangrun / ST-ProtoPNet
[ICCV 2023] Learning Support and Trivial Prototypes for Interpretable Image Classification
fine-grained-classification interpretability-and-explainability interpretable-ai interpretable-deep-learning interpretable-neural-networks image-recognition explainable-ai
Language:Python 14
h2oai / article-information-2019
Article for Special Edition of Information: Machine Learning with Python
machine-learning python fatml xai data-science fairness-ai fairness-ml fairness-testing interpretable-machine-learning interpretable-ai interpretable-ml machine-learning-interpretability iml explainable-ai explainable-ml
Language:Jupyter Notebook 13

interpretable-ai

jacobgil / pytorch-grad-cam

interpretml / interpret

pytorch / captum

jphall663 / awesome-machine-learning-interpretability

wangyongjie-ntu / Awesome-explainable-AI

lopusz / awesome-interpretable-machine-learning

jphall663 / interpretable_machine_learning_with_python

h2oai / mli-resources

explainX / explainx

chr5tphr / zennit

pietrobarbiero / pytorch_explain

ajayarunachalam / Deep_XF

andreysharapov / xaience

Julia-XAI / ExplainableAI.jl

12wang3 / rrl

VincentGranville / Machine-Learning

fat-forensics / fat-forensics

adaamko / POTATO

jialinwu17 / self_critical_vqa

TooTouch / WhiteBox-Part1

AthenaCore / AwesomeResponsibleAI

linkedin / TE2Rules

MarcoParola / pytorch-sidu

koriavinash1 / BioExp

willbakst / pytorch-lattice

guidelabs / infembed

weimin17 / Multimodal_Transformer

naotoo1 / Beyond-Neural-Scaling

jphall663 / hc_ml

si-cim / prototorch

12wang3 / mllp

navdeep-G / interpretable-ml

deepfx / netlens

prclibo / ice

cwangrun / ST-ProtoPNet

h2oai / article-information-2019