Transformer-MM-Explainability VS univec

Compare Transformer-MM-Explainability vs univec 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)

univec

Multilingual CLIP (by theblackcat102)
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Transformer-MM-Explainability univec
3 1
704 1
- -
0.0 7.7
8 months ago almost 3 years ago
Jupyter Notebook 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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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.

univec

Posts with mentions or reviews of univec. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Transformer-MM-Explainability and univec 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.

fauxClip - Custom registers and clipboard support for Vim without +clipboard

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.

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

clip-italian - CLIP (Contrastive Languageā€“Image Pre-training) for Italian

pytea - PyTea: PyTorch Tensor shape error analyzer

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

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

bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

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

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