explainable-ai

There are 84 repositories under explainable-ai topic.

kmario23 / deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
machine-learning deep-learning deep-neural-networks pattern-recognition computer-vision optimization visual-recognition reinforcement-learning deep-reinforcement-learning natural-language-processing artificial-neural-networks artificial-intelligence-algorithms probabilistic-graphical-models bayesian-statistics speech-recognition graph-neural-networks medical-imaging geometric-deep-learning explainable-ai probability
Language:HTML 12723
jacobgil / pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
deep-learning pytorch grad-cam visualizations interpretability interpretable-ai interpretable-deep-learning score-cam class-activation-maps vision-transformers explainable-ai xai image-classification machine-learning object-detection computer-vision explainable-ml
Language:Python 12342
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++ 6708
sahi
obss / sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
object-detection instance-segmentation computer-vision small-object-detection large-image mmdetection pytorch python coco deep-learning machine-learning remote-sensing huggingface fiftyone satellite tiling explainable-ai oriented-object-detection yolo11 hacktoberfest
Language:Python 4924
microsoft / tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
ai deep-learning deeplearning machine-learning machinelearning reinforcement-learning debugging debugging-tool debug monitoring explainable-ai explainable-ml saliency model-visualization data-science python jupyter-notebook jupyter
Language:Jupyter Notebook 3464
PySR
MilesCranmer / PySR
High-Performance Symbolic Regression in Python and Julia
algorithm automl data-science distributed-systems equation-discovery evolutionary-algorithms explainable-ai genetic-algorithm interpretable-ml julia machine-learning python scikit-learn symbolic symbolic-regression
Language:Python 3192
alan-sdk-web
alan-ai / alan-sdk-web
The Self-Coding System for Your App — Alan AI SDK for Web
voice-ai conversational-ai machine-learning ai-chat generative-ai ai ai-assistant ai-chat-bot custom-dataset enterprise explainable-ai large-language-models llms low-code nlp productivity question-answering text-ai voice-ai-platform workflow
2436
awesome-explainable-graph-reasoning
AstraZeneca / awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
awesome-list graph graph-algorithms deep-learning explainable-ai explainable-ml graphml
1983
Trusted-AI / AIX360
Interpretability and explainability of data and machine learning models
explainable-ai explainable-ml trusted-ai trusted-ml machine-learning deep-learning codait artificial-intelligence explainabil xai ibm-research ibm-research-ai
Language:Python 1745
microsoft / responsible-ai-toolbox
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
ui responsible-ai data-science fairness fairness-ml fairness-ai explainable-ai explainable-ml explainability machinelearning machine-learning ml visualization widgets widget jupyter error-analysis data-analysis data-visualization interpretability
Language:TypeScript 1656
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
Language:Markdown 1578
imodels
csinva / imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
interpretability machine-learning data-science artificial-intelligence ml ai statistics scikit-learn python optimal-classification-tree rulefit imodels rule-learning supervised-learning explainable-ml explainable-ai rules bayesian-rule-list
Language:Jupyter Notebook 1510
interpretml / DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
counterfactual-explanations explainable-ml xai interpretable-machine-learning deep-learning machine-learning explainable-ai
Language:Python 1465
DALEX
ModelOriented / DALEX
moDel Agnostic Language for Exploration and eXplanation (JMLR 2018; JMLR 2021)
machine-learning interpretability data-science xai iml model-visualization dalex explanations explainable-ai explainable-artificial-intelligence predictive-modeling black-box explainable-ml interpretable-machine-learning explanatory-model-analysis responsible-ai responsible-ml fairness
Language:Python 1446
cdpierse / transformers-interpret
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
nlp machine-learning natural-language-processing explainable-ai transformers model-explainability transformers-model captum deep-learning neural-network interpretability computer-vision
Language:Jupyter Notebook 1391
EthicalML / xai
XAI - An eXplainability toolbox for machine learning
explainability xai ml ai bias artificial-intelligence bias-evaluation explainable-ai explainable-ml machine-learning machine-learning-explainability interpretability xai-library evaluation imbalance upsampling downsampling feature-importance
Language:Python 1206
valeman / awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
conformal-prediction python r machinelearning datascience deeplearning awesome awesome-list probability uncertainty-quantification uncertainty uncertainty-estimation probability-distribution probability-distributions machine-learning ai explainable-ai statistics robust-ml
1038
jacobgil / vit-explain
Explainability for Vision Transformers
vision-transformer pytorch explainable-ai deep-learning transformer
Language:Python 1016
DmitryRyumin / ICCV-2023-25-Papers
ICCV 2023-2025 Papers: Discover cutting-edge research from ICCV 2023-25, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!
iccv iccv2023 3d-graphics 3d-reconstruction biometrics computer-vision datasets deep-learning explainable-ai face-recognition gesture-recognition image-processing image-synthesis pattern-recognition video-synthesis multimodal-learning photogrammetry pose-estimation transfer-learning iccv2025
Language:Python 957
salesforce / OmniXAI
OmniXAI: A Library for eXplainable AI
explainable-ai explainable-ml interpretable-machine-learning machine-learning explanation
Language:Jupyter Notebook 955
pyGAM
dswah / pyGAM
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
machine-learning data-science scientific-computing python interpretable-machine-learning gams explainable-ai explainable-ml interpretable-ai interpretable-ml hacktoberfest
Language:Python 926
lopusz / awesome-interpretable-machine-learning
data-science explainable-ai interpretable-ai interpretable-machine-learning interpretable-ml machine-learning xai
Language:Python 918
hila-chefer / Transformer-MM-Explainability
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
transformers transformer vqa detr visualization explainability explainable-ai interpretability lxmert visualbert clip
Language:Jupyter Notebook 875
aerdem4 / lofo-importance
Leave One Feature Out Importance
data-science explainable-ai feature-importance feature-selection machine-learning
Language:Python 849
maelfabien / Machine_Learning_Tutorials
Code, exercises and tutorials of my personal blog ! 📝
ai dataviz deep-learning example explainable-ai keras machine-learning python pytorch statistics tensorflow tutorials
Language:Jupyter Notebook 789
castorini / daam
Diffusion attentive attribution maps for interpreting Stable Diffusion.
diffusion explainable-ai generative-ai huggingface pytorch stable-diffusion
Language:Jupyter Notebook 776
flyingdoog / awesome-graph-explainability-papers
Papers about explainability of GNNs
machine-learning deep-learning graph-mining graph-neural-networks xai explainable-ai explainability
766
SymbolicRegression.jl
MilesCranmer / SymbolicRegression.jl
Distributed High-Performance Symbolic Regression in Julia
automl data-science distributed-systems equation-discovery evolutionary-algorithms explainable-ai genetic-algorithm interpretable-ml julia machine-learning sciml symbolic symbolic-computation symbolic-regression
Language:Julia 746
awesome-open-data-centric-ai
Renumics / awesome-open-data-centric-ai
Curated list of open source tooling for data-centric AI on unstructured data.
awesome-list data-centric-ai data-curation data-versioning data-visualization explainable-ai active-learning feature-vector robust-machine-learning bias-detection computer-vision data-drift deep-learning nlp noisy-labels outlier-detection synthetic-data uncertainty-estimation machine-learning documentation-only
733
xplique
deel-ai / xplique
👋 Xplique is a Neural Networks Explainability Toolbox
xai explainable-ai explainable-ml interpretability
Language:Python 715
privacytrustlab / ml_privacy_meter
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
data-privacy data-protection data-protection-impact-assessment explainable-ai gdpr inference information-leakage machine-learning membership-inference-attack privacy privacy-audit
Language:Jupyter Notebook 684
shapiq
mmschlk / shapiq
Shapley Interactions and Shapley Values for Machine Learning
python feature-interactions explainability interpretability machine-learning shap shapley shapiq shapley-interactions banzhaf-index explainable-ai feature-importance game-theory interpretable-machine-learning feature-attribution
Language:Python 631
understandable-machine-intelligence-lab / Quantus
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
deep-learning explainable-ai interpretability machine-learning pytorch quantification-evaluation-methods reproducibility tensorflow xai
Language:Jupyter Notebook 628
ScalaConsultants / Aspect-Based-Sentiment-Analysis
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
aspect-based-sentiment-analysis bert-embeddings deep-learning distill explainable-ai explainable-ml interpretability machine-learning sentiment-analysis tensorflow transformer-models transformers
Language:Python 574
linkedin / FastTreeSHAP
Fast SHAP value computation for interpreting tree-based models
explainable-ai interpretability lightgbm machine-learning random-forest shap xgboost
Language:Python 546
Cartus / Automated-Fact-Checking-Resources
Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).
natural-language-processing machine-learning survey fact-checking fake-news-detection rumor-detection paper-list information-retrieval claim-detection natural-language-inference explainable-ai dataset
539

explainable-ai

kmario23 / deep-learning-drizzle

jacobgil / pytorch-grad-cam

interpretml / interpret

obss / sahi

microsoft / tensorwatch

MilesCranmer / PySR

alan-ai / alan-sdk-web

AstraZeneca / awesome-explainable-graph-reasoning

Trusted-AI / AIX360

microsoft / responsible-ai-toolbox

wangyongjie-ntu / Awesome-explainable-AI

csinva / imodels

interpretml / DiCE

ModelOriented / DALEX

cdpierse / transformers-interpret

EthicalML / xai

valeman / awesome-conformal-prediction

jacobgil / vit-explain

DmitryRyumin / ICCV-2023-25-Papers

salesforce / OmniXAI

dswah / pyGAM

lopusz / awesome-interpretable-machine-learning

hila-chefer / Transformer-MM-Explainability

aerdem4 / lofo-importance

maelfabien / Machine_Learning_Tutorials

castorini / daam

flyingdoog / awesome-graph-explainability-papers

MilesCranmer / SymbolicRegression.jl

Renumics / awesome-open-data-centric-ai

deel-ai / xplique

privacytrustlab / ml_privacy_meter

mmschlk / shapiq

understandable-machine-intelligence-lab / Quantus

ScalaConsultants / Aspect-Based-Sentiment-Analysis

linkedin / FastTreeSHAP

Cartus / Automated-Fact-Checking-Resources