ipme VS deep-kernel-transfer

Compare ipme vs deep-kernel-transfer and see what are their differences.

ipme

An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer". (by evdoxiataka)
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ipme deep-kernel-transfer
1 1
24 190
- 1.6%
0.0 10.0
over 1 year ago over 2 years ago
Python Python
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.
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ipme

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

deep-kernel-transfer

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

What are some alternatives?

When comparing ipme and deep-kernel-transfer you can also consider the following projects:

EOmaps - A library to create interactive maps of geographical datasets

FSL-Mate - FSL-Mate: A collection of resources for few-shot learning (FSL).

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

fortuna - A Library for Uncertainty Quantification.

surface_normal_uncertainty - (ICCV 2021 - oral) Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

rcps - Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"

MLBox - MLBox is a powerful Automated Machine Learning python library.

heinsen_tree - Reference implementation of "Tree Methods for Hierarchical Classification in Parallel" (Heinsen, 2022) in PyTorch.

Genome - Genome Network Ala Neural Network