deep-kernel-transfer VS heinsen_tree

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

heinsen_tree

Reference implementation of "Tree Methods for Hierarchical Classification in Parallel" (Heinsen, 2022) in PyTorch. (by glassroom)
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deep-kernel-transfer heinsen_tree
1 2
190 12
1.6% -
10.0 10.0
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.

heinsen_tree

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

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

jukebox - Code for the paper "Jukebox: A Generative Model for Music"

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

ALAE - [CVPR2020] Adversarial Latent Autoencoders

fortuna - A Library for Uncertainty Quantification.

wavegrad - A fast, high-quality neural vocoder.

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

diffwave - DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

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

rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]

Genome - Genome Network Ala Neural Network