uq-vae VS uncertainty-toolbox

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

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uq-vae uncertainty-toolbox
1 1
5 1,711
- 3.1%
5.7 10.0
over 1 year ago over 1 year 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.

uq-vae

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

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.

What are some alternatives?

When comparing uq-vae and uncertainty-toolbox you can also consider the following projects:

fortuna - A Library for Uncertainty Quantification.

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

GPflow - Gaussian processes in TensorFlow

TorchDrift - Drift Detection for your PyTorch Models

pytea - PyTea: PyTorch Tensor shape error analyzer

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.

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

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

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.

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

shapash - 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models