explainerdashboard VS Transformer-MM-Explainability

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

explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models. (by oegedijk)
Dash shap-values Dashboard model-predictions data-scientists explainer interactive-dashboards permutation-importances Shap Plotly inner-workings interactive-plots xai-library xai
Source Code
explainerdashboard.readthedocs.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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explainerdashboard Transformer-MM-Explainability
2 3
2,221 701
- -
8.0 0.0
14 days 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.

explainerdashboard

Posts with mentions or reviews of explainerdashboard. 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 explainerdashboard and Transformer-MM-Explainability you can also consider the following projects:

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.

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

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

TorchDrift - Drift Detection for your PyTorch Models

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.

univec - Multilingual CLIP

delve - PyTorch model training and layer saturation monitor

pytea - PyTea: PyTorch Tensor shape error analyzer

cockpit - Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

explainerdashboard vs deepchecks Transformer-MM-Explainability vs pytorch-grad-cam explainerdashboard vs WeightWatcher Transformer-MM-Explainability vs TorchDrift explainerdashboard vs TorchDrift Transformer-MM-Explainability vs shap explainerdashboard vs backpack Transformer-MM-Explainability vs univec explainerdashboard vs delve Transformer-MM-Explainability vs pytea explainerdashboard vs cockpit Transformer-MM-Explainability vs WeightWatcher