Transformer-MM-Explainability VS backpack

Compare Transformer-MM-Explainability vs backpack and see what are their differences.

Transformer-MM-Explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA. (by hila-chefer)
Transformers Transformer vqa detr Visualization explainability explainable-ai Interpretability lxmert visualbert clip
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backpack

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient. (by f-dangel)
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backpack.pt
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Transformer-MM-Explainability backpack
3 2
709 541
- -
0.0 1.9
8 months ago about 16 hours ago
Jupyter Notebook Python
MIT License MIT License
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Transformer-MM-Explainability

Posts with mentions or reviews of Transformer-MM-Explainability. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.

backpack

Posts with mentions or reviews of backpack. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-28.

What are some alternatives?

When comparing Transformer-MM-Explainability and backpack you can also consider the following projects:

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

cleverhans - An adversarial example library for constructing attacks, building defenses, and benchmarking both

TorchDrift - Drift Detection for your PyTorch Models

explainerdashboard - Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

SGD-OGR-Hessian-estimator - SGD (stochastic gradient descent) with OGR - online gradient regression Hessian estimator

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

clip-italian - CLIP (Contrastive Language–Image Pre-training) for Italian

uncertainty-toolbox - Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

pytea - PyTea: PyTorch Tensor shape error analyzer

pnotify - Beautiful JavaScript notifications with Web Notifications support.

Transformer-MM-Explainability vs pytorch-grad-cam backpack vs cleverhans Transformer-MM-Explainability vs TorchDrift backpack vs TorchDrift Transformer-MM-Explainability vs explainerdashboard backpack vs SGD-OGR-Hessian-estimator Transformer-MM-Explainability vs shap backpack vs explainerdashboard Transformer-MM-Explainability vs clip-italian backpack vs uncertainty-toolbox Transformer-MM-Explainability vs pytea backpack vs pnotify