uncertainty-toolbox VS cockpit

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

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uncertainty-toolbox cockpit
1 3
1,711 468
3.1% -
10.0 0.0
over 1 year ago almost 2 years ago
Python Python
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.

cockpit

Posts with mentions or reviews of cockpit. 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 cockpit you can also consider the following projects:

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

TorchDrift - Drift Detection for your PyTorch Models

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

pytea - PyTea: PyTorch Tensor shape error analyzer

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

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.

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

uq-vae - Solving Bayesian Inverse Problems via Variational Autoencoders

delve - PyTorch model training and layer saturation monitor