uncertainty-toolbox VS Transformer-MM-Explainability

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

uncertainty-toolbox

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization (by uncertainty-toolbox)
uncertainty uncertainty-quantification uncertainty-estimation uncertainty-metrics Calibration Sharpness uncertainty-toolbox Metrics Visualizations Visualization recalibration predictive-uncertainty scoring-rules uncertainty-calibration Toolbox bayesian-neural-networks bayesian-deep-learning
Source Code
uncertainty-toolbox.github.io
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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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uncertainty-toolbox Transformer-MM-Explainability
1 3
1,711 704
3.1% -
10.0 0.0
over 1 year ago 8 months ago
Python Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

uncertainty-toolbox

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

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.

What are some alternatives?

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

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

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

TorchDrift - Drift Detection for your PyTorch Models

pytea - PyTea: PyTorch Tensor shape error analyzer

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

deepchecks - Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

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

backpack - BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

uq-vae - Solving Bayesian Inverse Problems via Variational Autoencoders

WeightWatcher - The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

uncertainty-toolbox vs cleverhans Transformer-MM-Explainability vs pytorch-grad-cam uncertainty-toolbox vs TorchDrift Transformer-MM-Explainability vs TorchDrift uncertainty-toolbox vs pytea Transformer-MM-Explainability vs explainerdashboard uncertainty-toolbox vs deepchecks Transformer-MM-Explainability vs shap uncertainty-toolbox vs backpack Transformer-MM-Explainability vs pytea uncertainty-toolbox vs uq-vae Transformer-MM-Explainability vs WeightWatcher