Skip to content
#

interpretable-ai

Star

Here are 106 public repositories matching this topic...

Language: All
Filter by language
All 106 Python 54 Jupyter Notebook 33 HTML 3 TeX 3 C++ 2 Julia 1 Markdown 1 Terra 1 TypeScript 1
Sort: Most stars
Sort options
Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

jacobgil / pytorch-grad-cam

Star 10.6k

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 Oct 19, 2024
  • Python

jphall663 / interpretable_machine_learning_with_python

Star 673

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

python data-science machine-learning data-mining h2o gradient-boosting-machine transparency decision-tree fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability
  • Updated Jun 17, 2024
  • Jupyter Notebook
explainx

explainX / explainx

Star 418

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]

machine-learning scikit-learn transparency blackbox bias interpretability explainable-artificial-intelligence interpretable-ai explainable-ai explainable-ml xai interpretable-machine-learning machine-learning-interpretability explainability aws-sagemaker explainx
  • Updated Aug 21, 2024
  • Jupyter Notebook

ajayarunachalam / Deep_XF

Star 113

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 machine-learning deep-neural-networks timeseries deep-learning time-series forecasting multivariate ecg-signal sensors forecasting-models time-series-analysis auto-ml interpretable-ai explainable-ml siamese-neural-network auto-timeseries nowcasting-models
  • Updated Dec 8, 2022
  • Jupyter Notebook

12wang3 / rrl

Star 107

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"

scalability representation-learning nips interpretability interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml explainability neurips interpretable-classification rule-based-model neuro-symbolic-ai
  • Updated Mar 12, 2024
  • Python

Improve this page

Add a description, image, and links to the interpretable-ai topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the interpretable-ai topic, visit your repo's landing page and select "manage topics."

Learn more