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Top 10 interpretable-ai open source projects

Model interpretability and understanding for PyTorch

✭ 2,830

python CSS javascript typescript shell Batchfile interpretability feature-importance interpretable-ai interpretable-ml feature-attribution

Awesome Machine Learning Interpretability

A curated list of awesome machine learning interpretability resources.

✭ 2,404

machine-learning awesome awesome-list data-science data-mining interpretability transparency fairness accountability interpretable-deep-learning interpretable-ai interpretable-ml explainable-ml xai fatml interpretable-machine-learning iml machine-learning-interpretability

Pytorch Grad Cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

✭ 3,814

python deep-learning pytorch grad-cam visualizations interpretability class-activation-maps interpretable-deep-learning interpretable-ai score-cam vision-transformers

Interpret

Fit interpretable models. Explain blackbox machine learning.

WhiteBox-Part1

In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

✭ 34

Jupyter Notebook machine-learning computer-vision deep-learning grad-cam mnist gradients backpropagation blackbox saliency-map cifar-10 smoothgrad guided-backpropagation interpretable-ai explainable-ai integrated-gradients evaluate-models

zennit

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

✭ 57

python shell machine-learning deep-learning attribution pytorch interpretability interpretable-ai interpretable-ml explainable-ai xai lrp explainability feature-attribution

interpretable-ml

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

✭ 17

Jupyter Notebook data-science machine-learning data-mining gradient-boosting-machine transparency decision-trees fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability

mllp

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

✭ 15

python Jupyter Notebook machine-learning transparency aaai interpretability rule-based interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml machine-learning-interpretability explainability rule-sets interpretml transparent-ml

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.

✭ 83

Jupyter Notebook 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

self critical vqa

Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''

✭ 39

python shell vqa visual-question-answering interpretable-deep-learning interpretable-ai explainable-ai

1-10 of 10 interpretable-ai projects