uncertainty-toolbox VS cleverhans

Compare uncertainty-toolbox vs cleverhans and see what are their differences.

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uncertainty-toolbox cleverhans
1 3
1,711 6,079
3.1% 0.0%
10.0 0.0
over 1 year ago 18 days 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.
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.

uncertainty-toolbox

Posts with mentions or reviews of uncertainty-toolbox. 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 uncertainty-toolbox and cleverhans you can also consider the following projects:

TorchDrift - Drift Detection for your PyTorch Models

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.

pytea - PyTea: PyTorch Tensor shape error analyzer

advertorch - A Toolbox for Adversarial Robustness Research

AIX360 - Interpretability and explainability of data and machine learning models

backpack - BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

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

uq-vae - Solving Bayesian Inverse Problems via Variational Autoencoders

ipme - An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".

delve - PyTorch model training and layer saturation monitor