captum
Model explainer
Provides tools and algorithms to understand how machine learning models make predictions
Model interpretability and understanding for PyTorch
5k stars
270 watching
499 forks
Language: Python
last commit: 6 days ago
Linked 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/examples | A collection of curated examples showcasing various PyTorch applications in computer vision, natural language processing, and reinforcement learning. | 22,428 |
 ruotianluo/imagecaptioning.pytorch | A Python-based framework for training and testing image captioning models using PyTorch. | 1,451 |
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 wizaron/pytorch-cpp-inference | A repository providing tools and examples to serve PyTorch models as C++ inference applications. | 226 |
 yunjey/pytorch-tutorial | A comprehensive tutorial project that provides code examples for learning PyTorch by implementing various deep learning models and demonstrating their usage. | 30,251 |
 ahkarami/deep-learning-in-production | A collection of notes and references on deploying deep learning models in production environments | 4,306 |
 fxia22/pointnet.pytorch | This is an implementation of the PointNet algorithm in PyTorch for 3D point cloud classification and segmentation tasks. | 2,149 |
| pytorch/pytorch | A Python library providing tensors and dynamic neural networks with strong GPU acceleration | 83,959 |
 rdspring1/pytorch_gbw_lm | Trains a large-scale PyTorch language model on the 1-Billion Word dataset | 123 |
 codertimo/bert-pytorch | An implementation of Google's 2018 BERT model in PyTorch, allowing pre-training and fine-tuning for natural language processing tasks | 6,222 |
 bentrevett/pytorch-sentiment-analysis | A tutorial repository for building sentiment analysis models with PyTorch using various architectures and techniques. | 4,381 |
 qubvel-org/segmentation_models.pytorch | A PyTorch library for building and training neural networks for image segmentation tasks. | 9,696 |
 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. | 31 |