Topic: explainable-ai Goto Github

👇 Here are 886 public repositories matching this topic...

aerdem4 / lofo-importance
explainable-ai,Leave One Feature Out Importance
User: aerdem4
feature-importance machine-learning data-science feature-selection explainable-ai

ai4life-group / openxai
explainable-ai,OpenXAI : Towards a Transparent Evaluation of Model Explanations
Organization: ai4life-group
Home Page: https://open-xai.github.io/
benchmark explainability explainable-ai interpretability leaderboard reproducibility

alan-ai / alan-sdk-web
explainable-ai,Generative AI SDK for Web to build AI Assistants for apps built with JavaScript, React, Angular, Vue, Ember, Electron
Organization: alan-ai
Home Page: https://alan.app/
voice-ai conversational-ai machine-learning ai-chat generative-ai ai ai-assistant ai-chat-bot custom-dataset enterprise

ashutosh1919 / explainable-cnn
explainable-ai,📦 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-ai,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

bcg-x-official / facet
explainable-ai,Human-explainable AI.
Organization: bcg-x-official
Home Page: https://bcg-x-official.github.io/facet
data-science machine-learning python data-analytics model-selection hyperparameter-tuning interpretability explainable-ai shap-vector-decomposition statistics simulation

benedekrozemberczki / shapley
explainable-ai,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

carla-recourse / carla
explainable-ai,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 benchmark benchmarking tensorflow tensorflow2 pytorch

cartus / automated-fact-checking-resources
explainable-ai,Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).
User: cartus
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

castorini / daam
explainable-ai,Diffusion attentive attribution maps for interpreting Stable Diffusion.
Organization: castorini
explainable-ai huggingface pytorch stable-diffusion generative-ai diffusion

cdpierse / transformers-interpret
explainable-ai,Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
User: cdpierse
nlp machine-learning natural-language-processing explainable-ai transformers model-explainability transformers-model captum deep-learning neural-network

csinva / imodels
explainable-ai,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

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

dmitryryumin / iccv-2023-papers
explainable-ai,ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!
User: dmitryryumin
Home Page: https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers
iccv iccv2023 3d-graphics 3d-reconstruction biometrics computer-vision datasets deep-learning explainable-ai face-recognition

ethicalml / xai
explainable-ai,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-ai,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

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

guanrunwei / awesome-vision-transformer-collection
explainable-ai,Variants of Vision Transformer and its downstream tasks
User: guanrunwei
deep-learning awesome self-attention computer-vision backbone detection tracking segmentation self-supervised-learning pose-estimation

hbaniecki / adversarial-explainable-ai
explainable-ai,💡 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

hila-chefer / transformer-mm-explainability
explainable-ai,[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.
User: hila-chefer
transformers transformer vqa detr visualization explainability explainable-ai interpretability lxmert visualbert

inseq-team / inseq
explainable-ai,Interpretability for sequence generation models 🐛 🔍
Organization: inseq-team
Home Page: https://inseq.org
interpretability deep-learning transformers explainable-ai captum huggingface attribution-methods natural-language-processing generative-ai language-generation

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

interpretml / interpret
explainable-ai,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-ai,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
deep-learning pytorch grad-cam visualizations interpretability interpretable-ai interpretable-deep-learning score-cam class-activation-maps vision-transformers

jacobgil / vit-explain
explainable-ai,Explainability for Vision Transformers
User: jacobgil
vision-transformer pytorch explainable-ai deep-learning transformer

joaolages / diffusers-interpret
explainable-ai,Diffusers-Interpret 🤗🧨🕵️‍♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.
User: joaolages
computer-vision deep-learning diffusers diffusion explainable-ai image-generation interpretability model-explainability primary-attributions pytorch text2image transformers

keisen / tf-keras-vis
explainable-ai,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

kmario23 / deep-learning-drizzle
explainable-ai,Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
User: kmario23
Home Page: https://deep-learning-drizzle.github.io
machine-learning deep-learning deep-neural-networks pattern-recognition computer-vision optimization visual-recognition reinforcement-learning deep-reinforcement-learning natural-language-processing

linkedin / fasttreeshap
explainable-ai,Fast SHAP value computation for interpreting tree-based models
Organization: linkedin
explainable-ai interpretability lightgbm machine-learning random-forest shap xgboost

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

maelfabien / machine_learning_tutorials
explainable-ai,Code, exercises and tutorials of my personal blog ! 📝
User: maelfabien
Home Page: https://maelfabien.github.io/
tutorials example machine-learning deep-learning statistics python keras tensorflow pytorch dataviz explainable-ai ai

mdipietro09 / datascience_artificialintelligence_utils
explainable-ai,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 deep-learning natural-language-processing computer-vision reinforcement-learning time-series

microsoft / responsible-ai-toolbox
explainable-ai,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-ai,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

milescranmer / pysr
explainable-ai,High-Performance Symbolic Regression in Python and Julia
User: milescranmer
Home Page: https://astroautomata.com/PySR
symbolic-regression machine-learning python julia genetic-algorithm automl numpy interpretable-ml data-science explainable-ai

milescranmer / symbolicregression.jl
explainable-ai,Distributed High-Performance Symbolic Regression in Julia
User: milescranmer
Home Page: https://astroautomata.com/SymbolicRegression.jl/dev/
symbolic-regression julia symbolic-computation machine-learning automl sciml interpretable-ml data-science distributed-systems evolutionary-algorithms

modeloriented / dalex
explainable-ai,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 / modelstudio
explainable-ai,📍 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

obss / sahi
explainable-ai,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Organization: obss
Home Page: https://ieeexplore.ieee.org/document/9897990
object-detection instance-segmentation computer-vision small-object-detection large-image mmdetection pytorch python yolov5 coco

polyaxon / traceml
explainable-ai,Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Organization: polyaxon
pandas pandas-summary dataframes data-science spark dask plotly statistics matplotlib data-profiling

privacytrustlab / ml_privacy_meter
explainable-ai,Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
Organization: privacytrustlab
machine-learning data-privacy privacy inference information-leakage gdpr data-protection data-protection-impact-assessment privacy-audit explainable-ai membership-inference-attack

renumics / awesome-open-data-centric-ai
explainable-ai,Curated list of open source tooling for data-centric AI on unstructured data.
User: renumics
Home Page: https://renumics.com
awesome-list data-centric-ai data-curation data-versioning data-visualization explainable-ai active-learning feature-vector robust-machine-learning bias-detection

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

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

shi-yu-zhe / awesome-agi-cocosci
explainable-ai,An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
User: shi-yu-zhe
awesome artificial-general-intelligence computational-cognitive-science abduction bayesian pragmatics theory-of-mind language-of-thought logic-programming developmental-psychology

squaredev-io / whitebox
explainable-ai,[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

suinleelab / path_explain
explainable-ai,A repository for explaining feature attributions and feature interactions in deep neural networks.
Organization: suinleelab
machine-learning interpretable-deep-learning explainable-ai tensorflow pytorch

trusted-ai / aix360
explainable-ai,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
explainable-ai,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
explainable-ai,A collection of research materials on explainable AI/ML
User: wangyongjie-ntu
interpretable-ai explainable-ai interpretability explanation-system xai xml counterfactual-explanations recourse