Topic: explainable-ml Goto Github

👇 Here are 255 public repositories matching this topic...

12wang3 / rrl
explainable-ml,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

adaamko / potato
explainable-ml,XAI based human-in-the-loop framework for automatic rule-learning.
User: adaamko
nlp nlp-machine-learning explainable-ai explainable-ml explainability interpretable-machine-learning interpretable-ai classification information-extraction

ajayarunachalam / deep_xf
explainable-ml,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.
User: ajayarunachalam
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

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

andreysharapov / xaience
explainable-ml,All about explainable AI, algorithmic fairness and more
User: andreysharapov
explainable-ai explainable-artificial-intelligence explainable-ml interpretable-machine-learning interpretable-ai interpretable-deep-learning interpretability

ashutosh1919 / explainable-cnn
explainable-ml,📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
User: ashutosh1919
Home Page: https://pypi.org/project/explainable-cnn/
explainable-ai explainable-ml cnn cnn-pytorch cnn-classification grad-cam grad-cam-visualization saliency-map saliency-detection visualization

astrazeneca / awesome-explainable-graph-reasoning
explainable-ml,A collection of research papers and software related to explainability in graph machine learning.
Organization: astrazeneca
awesome-list graph graph-algorithms deep-learning explainable-ai explainable-ml graphml

astrazeneca / awesome-shapley-value
explainable-ml,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

awslabs / sagemaker-explaining-credit-decisions
explainable-ml,Amazon SageMaker Solution for explaining credit decisions.
Organization: awslabs
explainable-ai explainable-ml explainability credit-scoring loan-prediction-analysis financial-analysis machinelearning shapley sagemaker aws-sagemaker

benedekrozemberczki / shapley
explainable-ml,The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
User: benedekrozemberczki
shapley shapley-value owen voting-classifier machine-learning classifier random-forest random-forest-classifier explainable-ml explainable-ai

bgreenwell / fastshap
explainable-ml,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

carla-recourse / carla
explainable-ml,CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
Organization: carla-recourse
python machine-learning artificial-intelligence explainable-ai explainable-ml explainability counterfactual-explanations counterfactuals counterfactual recourse

csinva / imodels
explainable-ml,Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
User: csinva
Home Page: https://csinva.io/imodels
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

d909b / cxplain
explainable-ml,Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
User: d909b
machine-learning explainable-ai deep-learning explainability explainable-ml interpretability

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

divelab / dig
explainable-ml,A library for graph deep learning research
User: divelab
Home Page: https://diveintographs.readthedocs.io/
deep-learning graph-neural-network graph-generation explainable-ml self-supervised-learning 3d-graph

dylan-slack / talktomodel
explainable-ml,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

ethicalml / xai
explainable-ml,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
explainable-ml,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

firmai / ml-fairness-framework
explainable-ml,FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
User: firmai
Home Page: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3619715
fairness-ml fairness-ai fairness-indicators explainable-ai xai explainable-ml interpretable-machine-learning contrastive prototypical aif360

fzi-forschungszentrum-informatik / tsinterpret
explainable-ml,An Open-Source Library for the interpretability of time series classifiers
Organization: fzi-forschungszentrum-informatik
counterfactual-explanations explainable-ai explainable-artificial-intelligence explainable-ml feature-attribution interpretability interpretable-machine-learning interpretable-ml time-series

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

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

keisen / tf-keras-vis
explainable-ml,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

kiraving / seggradcam
explainable-ml,SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
User: kiraving
Home Page: https://ojs.aaai.org/index.php/AAAI/article/view/7244
computer-vision explainable-ai explainable-ml segmentation semantic-segmentation

m-nauta / prototree
explainable-ml,ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
User: m-nauta
computer-vision cvpr2021 decision-trees deep-neural-networks explainability explainable-ai explainable-ml fine-grained-classification fine-grained-visual-categorization interpretability interpretable-deep-learning interpretable-machine-learning pytorch

maif / shapash
explainable-ml,🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Organization: maif
Home Page: https://maif.github.io/shapash/
python machine-learning explainability explainable-ml transparency ethical-artificial-intelligence shap lime interpretability

mdipietro09 / datascience_artificialintelligence_utils
explainable-ml,Examples of Data Science projects and Artificial Intelligence use-cases
User: mdipietro09
data-science artificial-intelligence data-visualization python explainable-ai explainable-ml examples classification regression machine-learning

microsoft / responsible-ai-toolbox
explainable-ml,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.
Organization: microsoft
Home Page: https://responsibleaitoolbox.ai/
ui responsible-ai data-science fairness fairness-ml fairness-ai explainable-ai explainable-ml explainability machinelearning

microsoft / tensorwatch
explainable-ml,Debugging, monitoring and visualization for Python Machine Learning and Data Science
Organization: microsoft
ai deep-learning deeplearning machine-learning machinelearning reinforcement-learning debugging debugging-tool debug monitoring

mims-harvard / graphxai
explainable-ml,GraphXAI: Resource to support the development and evaluation of GNN explainers
Organization: mims-harvard
Home Page: https://zitniklab.hms.harvard.edu/projects/GraphXAI
benchmarking deep-learning embeddings explainability explainable-ai explainable-ml graph-machine-learning graph-neural-networks interpretability

modeloriented / dalex
explainable-ml,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 / fairmodels
explainable-ml,Flexible tool for bias detection, visualization, and mitigation
Organization: modeloriented
Home Page: https://fairmodels.drwhy.ai/
fairness explainable-ml explain-classifiers fairness-ml fairness-comparison model-evaluation

modeloriented / survex
explainable-ml,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

neemakot / health-fact-checking
explainable-ml,Dataset and code for "Explainable Automated Fact-Checking for Public Health Claims" from EMNLP 2020.
User: neemakot
Home Page: https://arxiv.org/pdf/2010.09926
fact-checking explainable-ai fake-news public-health explainable-ml fake-news-detection emnlp2020

nla-group / classix
explainable-ml,Fast and explainable clustering in Python
Organization: nla-group
Home Page: https://classix.readthedocs.io/en/stable/
clustering database machine-learning algorithm cython python explainable-ml data-analysis data-mining data-science dataset classification unsupervised-learning unsupervised-machine-learning visualization

norskregnesentral / shapr
explainable-ml,Explaining the output of machine learning models with more accurately estimated Shapley values
Organization: norskregnesentral
Home Page: https://norskregnesentral.github.io/shapr/
explainable-ai explainable-ml rcpp rcpparmadillo rstats shapley

pterhoer / explainablefaceimagequality
explainable-ml,Pixel-Level Face Image Quality Assessment for Explainable Face Recognition
User: pterhoer
explainable-ai explainable-ml quality machine-learning computer-vision face biometrics face-recognition quality-estimation quality-metrics

rehmanzafar / xai-iml-sota
explainable-ml,Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
User: rehmanzafar
machine-learning interpretable-models explainable-models interpretable-learning explaining-ai explanation-methods xai deep-learning-visualization interactive-machine-learning iml

salesforce / omnixai
explainable-ml,OmniXAI: A Library for eXplainable AI
Organization: salesforce
explainable-ai explainable-ml interpretable-machine-learning machine-learning explanation

salimamoukou / acv00
explainable-ml,ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.
User: salimamoukou
machine-learning explainable-ml explainability rule-based shapley

scalaconsultants / aspect-based-sentiment-analysis
explainable-ml,💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
Organization: scalaconsultants
aspect-based-sentiment-analysis bert-embeddings deep-learning distill explainable-ai explainable-ml interpretability machine-learning sentiment-analysis tensorflow transformer-models transformers

truera / trulens
explainable-ml,Evaluation and Tracking for LLM Experiments
Organization: truera
Home Page: https://www.trulens.org/
explainable-ml llm llmops machine-learning neural-networks

trusted-ai / aix360
explainable-ml,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

whyisyoung / cade
explainable-ml,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

wilsonjr / clustershapley
explainable-ml,Explaining dimensionality results using SHAP values
User: wilsonjr
machine-learning explainable-ai explainable-ml dimensionality-reduction cluster-formation explanations visualizations

xplainable / xplainable
explainable-ml,Real-time explainable machine learning for business optimisation
Organization: xplainable
Home Page: https://www.xplainable.io
auto-ml data-analytics data-science explainable-ai explainable-ml machine-learning machine-learning-algorithms predictions python shap