yellowbrick VS Transformer-MM-Explainability

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

yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection. (by DistrictDataLabs)
Machine Learning visual-analysis model-selection Visualization scikit-learn Visualizer Matplotlib Python estimator Anaconda
Source Code
scikit-yb.org
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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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yellowbrick Transformer-MM-Explainability
2 3
4,192 701
0.6% -
2.8 0.0
9 months ago 8 months ago
Python Jupyter Notebook
Apache License 2.0 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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yellowbrick

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

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

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

Anaconda - Anaconda turns your Sublime Text 3 in a full featured Python development IDE including autocompletion, code linting, IDE features, autopep8 formating, McCabe complexity checker Vagrant and Docker support for Sublime Text 3 using Jedi, PyFlakes, pep8, MyPy, PyLint, pep257 and McCabe that will never freeze your Sublime Text 3

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

itermplot - An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.

TorchDrift - Drift Detection for your PyTorch Models

fpdf2 - Simple PDF generation for Python

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

sports-betting - Collection of sports betting AI tools.

univec - Multilingual CLIP

scikit-survival - Survival analysis built on top of scikit-learn

pytea - PyTea: PyTorch Tensor shape error analyzer

yellowbrick vs kmodes Transformer-MM-Explainability vs pytorch-grad-cam yellowbrick vs Anaconda Transformer-MM-Explainability vs explainerdashboard yellowbrick vs itermplot Transformer-MM-Explainability vs TorchDrift yellowbrick vs fpdf2 Transformer-MM-Explainability vs shap yellowbrick vs sports-betting Transformer-MM-Explainability vs univec yellowbrick vs scikit-survival Transformer-MM-Explainability vs pytea