deep-kernel-transfer VS ipme

Compare deep-kernel-transfer vs ipme 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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deep-kernel-transfer ipme
1 1
190 24
1.6% -
10.0 0.0
over 2 years ago over 1 year 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.
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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.

ipme

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

What are some alternatives?

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

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

EOmaps - A library to create interactive maps of geographical datasets

fortuna - A Library for Uncertainty Quantification.

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

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

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

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