TorchDrift VS cleverhans

Compare TorchDrift vs cleverhans and see what are their differences.

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both (by cleverhans-lab)
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TorchDrift cleverhans
1 3
302 6,079
0.0% 1.2%
0.0 0.0
over 1 year ago 19 days ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

TorchDrift

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

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.

What are some alternatives?

When comparing TorchDrift and cleverhans you can also consider the following projects:

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.

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.

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

advertorch - A Toolbox for Adversarial Robustness Research

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

AIX360 - Interpretability and explainability of data and machine learning models

loss-landscape - Code for visualizing the loss landscape of neural nets

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

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

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

delve - PyTorch model training and layer saturation monitor