explainable-ml

There are 33 repositories under explainable-ml topic.

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 12330
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++ 6707
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
3906
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 3465
MAIF / shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
ethical-artificial-intelligence explainability explainable-ml interpretability lime machine-learning python shap transparency
Language:Jupyter Notebook 2971
truera / trulens
Evaluation and Tracking for LLM Experiments and AI Agents
agent-evaluation agentops ai-agents ai-monitoring ai-observability evals explainable-ml llm-eval llm-evaluation llmops llms machine-learning neural-networks
Language:Python 2901
divelab / DIG
A library for graph deep learning research
3d-graph deep-learning explainable-ml graph-generation graph-neural-network self-supervised-learning
Language:Python 1995
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 1654
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 1509
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 1464
DALEX
ModelOriented / DALEX
moDel Agnostic Language for Exploration and eXplanation (JMLR 2018; JMLR 2021)
black-box dalex data-science explainable-ai explainable-artificial-intelligence explainable-ml explanations explanatory-model-analysis fairness iml interpretability interpretable-machine-learning machine-learning model-visualization predictive-modeling responsible-ai responsible-ml xai
Language:Python 1445
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 1204
salesforce / OmniXAI
OmniXAI: A Library for eXplainable AI
explainable-ai explainable-ml interpretable-machine-learning machine-learning explanation
Language:Jupyter Notebook 953
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 924
xplique
deel-ai / xplique
👋 Xplique is a Neural Networks Explainability Toolbox
xai explainable-ai explainable-ml interpretability
Language:Python 712
ScalaConsultants / Aspect-Based-Sentiment-Analysis
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
aspect-based-sentiment-analysis tensorflow sentiment-analysis machine-learning interpretability distill transformers transformer-models bert-embeddings deep-learning explainable-ml explainable-ai
Language:Python 574
mdipietro09 / DataScience_ArtificialIntelligence_Utils
Examples of Data Science projects and Artificial Intelligence use-cases
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
Language:Jupyter Notebook 530
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 490
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 441
keisen / tf-keras-vis
Neural network visualization toolkit for tf.keras
activation-maximization saliency-maps visualization keras keras-visualization saliency tensorflow gradcam-plus-plus score-cam grad-cam keras-vis gradcam explainability explainable-ai explainable-ml deep-learning python xai xai-library
Language:Python 335
carla-recourse / CARLA
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
python machine-learning artificial-intelligence explainable-ai explainable-ml explainability counterfactual-explanations counterfactuals counterfactual recourse benchmark benchmarking tensorflow tensorflow2 pytorch
Language:Python 295
explainable-cnn
ashutosh1919 / explainable-cnn
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
explainable-ai explainable-ml cnn cnn-pytorch cnn-classification grad-cam grad-cam-visualization saliency-map saliency-detection visualization cnn-visualization cnn-visualization-technique guided-backpropagation guided-grad-cam pytorch pytorch-implementation
Language:Python 237
shapley
benedekrozemberczki / shapley
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
shapley shapley-value owen voting-classifier machine-learning classifier random-forest random-forest-classifier explainable-ml explainable-ai ensemble ensemble-learning deep-learning voting-game game-theory game-theory-toolbox weighted-voting-games
Language:Python 221
mims-harvard / GraphXAI
GraphXAI: Resource to support the development and evaluation of GNN explainers
graph-neural-networks explainability explainable-ai explainable-ml interpretability deep-learning embeddings graph-machine-learning benchmarking
Language:Python 200
NorskRegnesentral / shapr
Explaining the output of machine learning models with more accurately estimated Shapley values
rstats rcpp rcpparmadillo shapley explainable-ai explainable-ml
Language:HTML 170
JHoelli / Awesome-Time-Series-Explainability
A list of (post-hoc) XAI for time series
awesome-list awesome-lists explainability explainable-ai explainable-ml explainable-time-series-classification explainable-time-series-prediction interpretability interpretable-machine-learning time-series
164
awesome-shapley-value
AstraZeneca / awesome-shapley-value
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
artificial-intelligence deep-learning machine-learning shapley shapley-additive-explanations shapley-value xai data-science explainability explainable lime shap explainable-ai explainable-artificial-intelligence explainable-ml shapley-decomposition shapley-q-value owen-value
153
whyisyoung / CADE
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
artificial-intelligence autoencoder concept-drift contrastive-learning drebin explainable-ai explainable-ml explanation ids ids2018 interpretability keras machine-learning machine-learning-security mlp self-supervised-learning tensorflow xai
Language:Python 144
fzi-forschungszentrum-informatik / TSInterpret
An Open-Source Library for the interpretability of time series classifiers
counterfactual-explanations explainable-ai explainable-artificial-intelligence explainable-ml feature-attribution interpretability interpretable-machine-learning interpretable-ml time-series
Language:Python 143
d909b / cxplain
Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
machine-learning explainable-ai deep-learning explainability explainable-ml interpretability
Language:Python 132
bgreenwell / fastshap
Fast approximate Shapley values in R
shapley-values interpretable-machine-learning explainable-ml explainable-ai variable-importance shapley xai
Language:R 125
dylan-slack / TalkToModel
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
ai conversational-ai dialogue-systems explainability explainable-artificial-intelligence explainable-ml interpretability interpretable-machine-learning machine-learning-library machine-learning-papers ml paper-implementation papers explanation xai conversationalxai
Language:Python 125
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 118
survex
ModelOriented / survex
Explainable Machine Learning in Survival Analysis
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
Language:R 116