deep-kernel-transfer VS Genome

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

deep-kernel-transfer

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020) (by BayesWatch)
gaussian-processes few-shot-learning bayesian-methods Deep Learning deep-kernel-learning one-shot-learning kernel-methods Classification Regression gpytorch Kernel shot-learning uncertainty-quantification uncertainty Paper meta-learning kernels
Source Code
arxiv.org
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Genome

Genome Network Ala Neural Network (by DanShai)
neural-network genetic-programming Tsne Classification Regression kernels Optimization Genome Network gene-network
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deep-kernel-transfer Genome
1 1
190 3
1.6% -
10.0 2.7
over 2 years ago about 3 years ago
Python Python
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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.

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.

Genome

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

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

bioinformatics - Bioinformatic algorithms for the UCLA Bioinformatics Specialization

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

lazypredict - Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

fortuna - A Library for Uncertainty Quantification.

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

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

AlphaPy - Python AutoML for Trading Systems and Sports Betting

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

deep-kernel-transfer vs FSL-Mate Genome vs bioinformatics deep-kernel-transfer vs ipme Genome vs lazypredict deep-kernel-transfer vs fortuna Genome vs MLBox deep-kernel-transfer vs rcps Genome vs AlphaPy deep-kernel-transfer vs MLBox deep-kernel-transfer vs heinsen_tree