Topic: xai Goto Github

👇 Here are 544 public repositories matching this topic...

12wang3 / rrl
xai,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"
User: 12wang3
interpretable-classification rule-based-model representation-learning scalability interpretable-ai interpretable-ml explainable-ai explainable-ml neurips nips

altamiracorp / awesome-xai
xai,Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources
Organization: altamiracorp
awesome awesome-list xai explanations saliency-methods saliency-maps

arrasl / lrp_for_lstm
xai,Layer-wise Relevance Propagation (LRP) for LSTMs.
User: arrasl
recurrent-neural-networks lstms interpretability xai

astrazeneca / awesome-shapley-value
xai,Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
Organization: astrazeneca
artificial-intelligence deep-learning machine-learning shapley shapley-additive-explanations shapley-value xai data-science explainability explainable

bgreenwell / fastshap
xai,Fast approximate Shapley values in R
User: bgreenwell
Home Page: https://bgreenwell.github.io/fastshap/
shapley-values interpretable-machine-learning explainable-ml explainable-ai variable-importance shapley xai

charmlab / mace
xai,Model Agnostic Counterfactual Explanations
Organization: charmlab
counterfactual-explanations explainable-ml explainable-ai xai machine-learning interpretable-machine-learning

chr5tphr / zennit
xai,Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
User: chr5tphr
lrp pytorch xai machine-learning attribution explainability python interpretability explainable-ai interpretable-ai

csinva / imodelsx
xai,Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.
User: csinva
Home Page: https://csinva.io/imodelsX/
ai deep-learning explainability huggingface interpretability language-model machine-learning ml natural-language-processing natural-language-understanding

datamllab / awesome-fairness-in-ai
xai,A curated list of awesome Fairness in AI resources
Organization: datamllab
ai bias deep-learning fairness gender-bias interpretability machine-learning xai

deel-ai / xplique
xai,👋 Xplique is a Neural Networks Explainability Toolbox
Organization: deel-ai
Home Page: https://deel-ai.github.io/xplique
xai explainable-ai explainable-ml interpretability

dmlc / gnnlens2
xai,Visualization tool for Graph Neural Networks
Organization: dmlc
graph-neural-networks explainability deep-learning dgl graph-representation-learning visualization graph-visualization pytorch xai

dylan-slack / talktomodel
xai,TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
User: dylan-slack
Home Page: https://nlp.ics.uci.edu/talk-to-healthcare-model/
ai conversational-ai dialogue-systems explainability explainable-artificial-intelligence explainable-ml interpretability interpretable-machine-learning machine-learning-library machine-learning-papers

eclique / rise
xai,Detect model's attention
User: eclique
xai classification saliency saliency-map explainable-ai

ethicalml / xai
xai,XAI - An eXplainability toolbox for machine learning
Organization: ethicalml
Home Page: https://ethical.institute/principles.html#commitment-3
explainability xai ml ai bias artificial-intelligence bias-evaluation explainable-ai explainable-ml machine-learning

explainx / explainx
xai,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 @ [email protected]
Organization: explainx
Home Page: https://www.explainx.ai
explainable-ai explainable-artificial-intelligence machine-learning interpretability blackbox xai explainx interpretable-ai transparency bias

fhvilshoj / torchlrp
xai,A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).
User: fhvilshoj
patternnet pytorch lrp xai explanations

flyingdoog / awesome-graph-explainability-papers
xai,Papers about explainability of GNNs
User: flyingdoog
machine-learning deep-learning graph-mining graph-neural-networks xai explainable-ai explainability

graph-com / gsat
xai,[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
Organization: graph-com
Home Page: https://arxiv.org/abs/2201.12987
interpretability graph-neural-networks deep-learning pytorch interpretable-machine-learning xai

h2oai / mli-resources
xai,H2O.ai Machine Learning Interpretability Resources
Organization: h2oai
machine-learning python jupyter-notebooks interpretability data-science data-mining h2o mli xai fatml

haydengunraj / covidnet-ct
xai,COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT
User: haydengunraj
Home Page: https://alexswong.github.io/COVID-Net/
coronavirus coronavirus-detect covid-net covidx-ct-dataset covid-19 chest-ct coronavirus-dataset sars-cov-2 xai dataset

hbaniecki / adversarial-explainable-ai
xai,💡 Adversarial attacks on explanations and how to defend them
User: hbaniecki
Home Page: https://doi.org/10.1016/j.inffus.2024.102303
interpretable-machine-learning adversarial-machine-learning iml adversarial-attacks interpretability xai explainable-ai adversarial-examples explainability attacks

hou-yz / da_visualization
xai,[CVPR2021] "Visualizing Adapted Knowledge in Domain Transfer". Visualization for domain adaptation. #explainable-ai
User: hou-yz
domain-adaptation visualization explainable-ai image-translation xai

interpretml / dice
xai,Generate Diverse Counterfactual Explanations for any machine learning model.
Organization: interpretml
Home Page: https://interpretml.github.io/DiCE/
counterfactual-explanations explainable-ml xai interpretable-machine-learning deep-learning machine-learning explainable-ai

interpretml / interpret
xai,Fit interpretable models. Explain blackbox machine learning.
Organization: interpretml
Home Page: https://interpret.ml/docs
machine-learning interpretability gradient-boosting blackbox scikit-learn xai interpretml interpretable-machine-learning interpretable-ai transparency

jacobgil / pytorch-grad-cam
xai,Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
User: jacobgil
Home Page: https://jacobgil.github.io/pytorch-gradcam-book
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

jphall663 / awesome-machine-learning-interpretability
xai,A curated list of awesome responsible machine learning resources.
User: jphall663
fairness xai interpretability transparency machine-learning data-science python r awesome awesome-list

jphall663 / interpretable_machine_learning_with_python
xai,Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
User: jphall663
machine-learning python fatml xai gradient-boosting-machine decision-tree data-science fairness interpretable-machine-learning interpretability

julia-xai / explainableai.jl
xai,Explainable AI in Julia.
Organization: julia-xai
xai lrp interpretability interpretable-ai feature-attribution julia attribution-methods explainable-ai

keisen / tf-keras-vis
xai,Neural network visualization toolkit for tf.keras
User: keisen
Home Page: https://keisen.github.io/tf-keras-vis-docs/
activation-maximization saliency-maps visualization keras keras-visualization saliency tensorflow gradcam-plus-plus score-cam grad-cam

liznerski / fcdd
xai,Repository for the Explainable Deep One-Class Classification paper
User: liznerski
anomaly-detection deep-anomaly-detection deep-learning explainable-deepneuralnetwork explanations machine-learning mvtec-ad one-class-learning python pytorch xai

lopusz / awesome-interpretable-machine-learning
xai,
User: lopusz
interpretable-machine-learning interpretable-ml interpretable-ai xai explainable-ai machine-learning data-science

mi2datalab / survshap
xai,SurvSHAP(t): Time-dependent explanations of machine learning survival models
Organization: mi2datalab
Home Page: https://doi.org/10.1016/j.knosys.2022.110234
variable-importance biostatistics brier-scores cox-model cox-regression explainable-ai probabilistic-machine-learning shap survival-analysis time-to-event

modeloriented / dalex
xai,moDel Agnostic Language for Exploration and eXplanation
Organization: modeloriented
Home Page: https://dalex.drwhy.ai
machine-learning interpretability data-science xai iml model-visualization dalex explanations explainable-ai explainable-artificial-intelligence

modeloriented / ibreakdown
xai,Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
Organization: modeloriented
Home Page: https://ModelOriented.github.io/iBreakDown/
breakdown iml interpretability shapley xai

modeloriented / modelstudio
xai,📍 Interactive Studio for Explanatory Model Analysis
Organization: modeloriented
Home Page: https://doi.org/10.1007/s10618-023-00924-w
xai iml interpretability interpretable-machine-learning explanatory-model-analysis explainable-ai explainable-machine-learning model-visualization learning machine

modeloriented / survex
xai,Explainable Machine Learning in Survival Analysis
Organization: modeloriented
Home Page: https://modeloriented.github.io/survex
brier-scores cox-regression explainable-ai explainable-machine-learning explainable-ml explanatory-model-analysis interpretable-machine-learning interpretable-ml machine-learning shap survival-analysis cox-model probabilistic-machine-learning r-package censored-data time-to-event xai biostatistics variable-importance r

modeloriented / treeshap
xai,Compute SHAP values for your tree-based models using the TreeSHAP algorithm
Organization: modeloriented
Home Page: https://modeloriented.github.io/treeshap/
explainability explainable-ai explainable-artificial-intelligence explanatory-model-analysis iml interpretability interpretable-machine-learning machine-learning responsible-ml shap

oegedijk / explainerdashboard
xai,Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
User: oegedijk
Home Page: http://explainerdashboard.readthedocs.io
dash shap-values dashboard model-predictions data-scientists explainer interactive-dashboards permutation-importances shap plotly

pbiecek / breakdown
xai,Model Agnostics breakDown plots
User: pbiecek
Home Page: https://pbiecek.github.io/breakDown/
machine-learning interpretability data-science xai visual-explanations iml

pbiecek / ema
xai,Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
User: pbiecek
Home Page: http://ema.drwhy.ai
predictive-models explanatory-model-analysis explore explain examine machine-learning xai model-visualization

pbiecek / xai_resources
xai,Interesting resources related to XAI (Explainable Artificial Intelligence)
User: pbiecek
xai interpretability interpretable-machine-learning

seldonio / alibi
xai,Algorithms for explaining machine learning models
Organization: seldonio
Home Page: https://docs.seldon.io/projects/alibi/en/stable/
machine-learning explanations interpretability counterfactual xai

sergioburdisso / pyss3
xai,A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)
User: sergioburdisso
Home Page: https://pyss3.readthedocs.io
xai text-classification machine-learning machine-learning-algorithms artificial-intelligence explainable-artificial-intelligence data-mining early-classification ss3-classifier nlp

squaredev-io / whitebox
xai,[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
Organization: squaredev-io
Home Page: https://squaredev.io/whitebox/
machine-learning monitoring observability python explainability explainable-ai ml-monitoring mlflow mlops modelops

trusted-ai / aix360
xai,Interpretability and explainability of data and machine learning models
Organization: trusted-ai
Home Page: https://aix360.res.ibm.com/
explainable-ai explainable-ml trusted-ai trusted-ml machine-learning deep-learning codait artificial-intelligence explainabil xai

understandable-machine-intelligence-lab / quantus
xai,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
Organization: understandable-machine-intelligence-lab
Home Page: https://quantus.readthedocs.io/
machine-learning explainable-ai quantification-evaluation-methods deep-learning pytorch tensorflow interpretability xai reproducibility

wangyongjie-ntu / awesome-explainable-ai
xai,A collection of research materials on explainable AI/ML
User: wangyongjie-ntu
interpretable-ai explainable-ai interpretability explanation-system xai xml counterfactual-explanations recourse

whyisyoung / cade
xai,Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
User: whyisyoung
Home Page: https://liminyang.web.illinois.edu
drebin concept-drift explainable-ai contrastive-learning ids ids2018 interpretability xai machine-learning machine-learning-security

xaitk / xaitk-saliency
xai,As part of the Explainable AI Toolkit (XAITK), XAITK-Saliency is an open source, explainable AI framework for visual saliency algorithm interfaces and implementations, built for analytics and autonomy applications.
Organization: xaitk
Home Page: https://xaitk.org
python explainable-ai xai visual-saliency saliency

yulongwang12 / visual-attribution
xai,Pytorch Implementation of recent visual attribution methods for model interpretability
User: yulongwang12
pytorch saliency interpretability excitation-backpropagation model-interpretability patternnet xai visual-explanations interpretable-deep-learning explanation