captum
Model explainer
Provides tools and algorithms to understand how machine learning models make predictions
Model interpretability and understanding for PyTorch
5k stars
278 watching
503 forks
Language: Python
last commit: almost 2 years agoLinked from 4 awesome lists
feature-attributionfeature-importanceinterpretabilityinterpretable-aiinterpretable-ml
ethicalml/awesome-production-machine-learning
bharathgs/awesome-pytorch-list
kelvins/awesome-mlops
jphall663/awesome-machine-learning-interpretabilityRelated projects:
| Repository | Description | Stars |
|---|---|---|
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| pytorch/pytorch | A Python library providing tensors and dynamic neural networks with strong GPU acceleration | 84,978 |
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 bentrevett/pytorch-sentiment-analysis | A tutorial repository for building sentiment analysis models with PyTorch using various architectures and techniques. | 4,419 |
 qubvel-org/segmentation_models.pytorch | A comprehensive library for training and applying deep learning models for image segmentation | 9,829 |
 nickjiang2378/vl-interp | This project provides an official PyTorch implementation of a method to interpret and edit vision-language representations to mitigate hallucinations in image captions. | 46 |