interpretability

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Here are 445 public repositories matching this topic...

slundberg / shap

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A game theoretic approach to explain the output of any machine learning model.

machine-learning deep-learning gradient-boosting interpretability shapley shap explainability

Updated Dec 10, 2022
Jupyter Notebook

EthicalML / awesome-production-machine-learning

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A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

machine-learning data-mining awesome deep-learning awesome-list interpretability privacy-preserving production-machine-learning mlops privacy-preserving-machine-learning explainability responsible-ai machine-learning-operations ml-ops ml-operations privacy-preserving-ml large-scale-ml production-ml large-scale-machine-learning

Updated Dec 9, 2022

jacobgil / pytorch-grad-cam

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Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

machine-learning computer-vision deep-learning grad-cam pytorch image-classification object-detection visualizations interpretability class-activation-maps interpretable-deep-learning interpretable-ai explainable-ai explainable-ml xai score-cam vision-transformers

Updated Nov 18, 2022
Python

interpretml / interpret

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Fit interpretable models. Explain blackbox machine learning.

Updated Nov 21, 2022
C++

tensorflow / lucid

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A collection of infrastructure and tools for research in neural network interpretability.

visualization machine-learning tensorflow jupyter-notebook colab interpretability

Updated Apr 18, 2022
Jupyter Notebook

pytorch / captum

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Model interpretability and understanding for PyTorch

interpretability feature-importance interpretable-ai interpretable-ml feature-attribution

Updated Dec 11, 2022
Python

jphall663 / awesome-machine-learning-interpretability

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A curated list of awesome machine learning interpretability resources.

Updated Jun 3, 2022

stellargraph / stellargraph

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StellarGraph - Machine Learning on Graphs

python data-science machine-learning deep-learning graphs machine-learning-algorithms networkx graph-data graph-analysis graph-machine-learning link-prediction graph-convolutional-networks gcn saliency-map interpretability geometric-deep-learning graph-neural-networks heterogeneous-networks stellargraph-library

Updated Nov 22, 2022
Python

MAIF / shapash

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🔅 Shapash makes Machine Learning models transparent and understandable by everyone

python machine-learning transparency lime interpretability ethical-artificial-intelligence explainable-ml shap explainability

Updated Dec 2, 2022
Jupyter Notebook

SeldonIO / alibi

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Algorithms for explaining machine learning models

machine-learning interpretability counterfactual explanations xai

Updated Dec 9, 2022
Python

chaoyanghe / Awesome-Federated-Learning

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FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

machine-learning privacy computer-vision semi-supervised-learning transfer-learning wireless-communication distributed-optimization interpretability neural-architecture-search federated-learning continual-learning vertical-federated-learning non-iid decentralized-federated-learning hierarchical-federated-learning adversarial-attack-and-defense communication-efficiency straggler-problem computation-efficiency incentive-mechanism

Updated Sep 3, 2022

ramprs / grad-cam

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[ICCV 2017] Torch code for Grad-CAM

deep-learning heatmap grad-cam convolutional-neural-networks interpretability iccv17 visual-explanation

Updated Sep 17, 2022
Lua

ModelOriented / DALEX

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moDel Agnostic Language for Exploration and eXplanation

black-box data-science machine-learning predictive-modeling fairness interpretability explainable-artificial-intelligence explanations explainable-ai explainable-ml xai model-visualization interpretable-machine-learning iml dalex responsible-ai responsible-ml explanatory-model-analysis

Updated Nov 19, 2022
Python

frgfm / torch-cam

Sponsor

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Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

python deep-learning grad-cam cnn pytorch saliency-map interpretability smoothgrad interpretable-deep-learning gradcam activation-maps class-activation-map gradcam-plus-plus score-cam

Updated Dec 10, 2022
Python

csinva / imodels

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Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

python rules data-science machine-learning statistics ai scikit-learn ml artificial-intelligence supervised-learning interpretability explainable-ai explainable-ml rule-learning optimal-classification-tree rulefit imodels bayesian-rule-list

Updated Dec 11, 2022
Jupyter Notebook

sicara / tf-explain

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Interpretability Methods for tf.keras models with Tensorflow 2.x

visualization machine-learning deep-learning tensorflow keras tf2 interpretability

Updated Jun 30, 2022
Python

cdpierse / transformers-interpret

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Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

nlp machine-learning natural-language-processing computer-vision deep-learning neural-network transformers interpretability explainable-ai captum model-explainability transformers-model

Updated Dec 9, 2022
Jupyter Notebook

EthicalML / xai

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XAI - An eXplainability toolbox for machine learning

machine-learning ai evaluation ml artificial-intelligence upsampling bias interpretability feature-importance explainable-ai explainable-ml xai imbalance downsampling explainability bias-evaluation machine-learning-explainability xai-library

Updated Oct 30, 2021
Python

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convol…

Updated Nov 21, 2022
Python

wangyongjie-ntu / Awesome-explainable-AI

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A collection of research materials on explainable AI/ML

xml interpretability explanation-system interpretable-ai explainable-ai xai counterfactual-explanations recourse

Updated Nov 18, 2022

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interpretability

Here are 445 public repositories matching this topic...

slundberg / shap

EthicalML / awesome-production-machine-learning

jacobgil / pytorch-grad-cam

interpretml / interpret

tensorflow / lucid

pytorch / captum

jphall663 / awesome-machine-learning-interpretability

stellargraph / stellargraph

MAIF / shapash

SeldonIO / alibi

chaoyanghe / Awesome-Federated-Learning

ramprs / grad-cam

ModelOriented / DALEX

frgfm / torch-cam

csinva / imodels

sicara / tf-explain

cdpierse / transformers-interpret

EthicalML / xai

shubhomoydas / ad_examples

wangyongjie-ntu / Awesome-explainable-AI

Improve this page

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