cleverhans VS Transformer-MM-Explainability

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

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both (by cleverhans-lab)
Machine Learning Security Benchmarking
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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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cleverhans Transformer-MM-Explainability
3 3
6,008 701
0.0% -
0.0 0.0
about 1 year ago 8 months 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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cleverhans

Posts with mentions or reviews of cleverhans. 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 cleverhans 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.

advertorch - A Toolbox for Adversarial Robustness Research

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

aws-security-workshops - A collection of the latest AWS Security workshops

TorchDrift - Drift Detection for your PyTorch Models

AIX360 - Interpretability and explainability of data and machine learning models

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

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

univec - Multilingual CLIP

delve - PyTorch model training and layer saturation monitor

pytea - PyTea: PyTorch Tensor shape error analyzer

cleverhans vs deepchecks Transformer-MM-Explainability vs pytorch-grad-cam cleverhans vs advertorch Transformer-MM-Explainability vs explainerdashboard cleverhans vs aws-security-workshops Transformer-MM-Explainability vs TorchDrift cleverhans vs AIX360 Transformer-MM-Explainability vs shap cleverhans vs uncertainty-toolbox Transformer-MM-Explainability vs univec cleverhans vs delve Transformer-MM-Explainability vs pytea