Genome VS deep-kernel-transfer

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

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

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
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arxiv.org
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Genome deep-kernel-transfer
1 1
3 190
- 1.6%
2.7 10.0
about 3 years ago over 2 years ago
Python Python
- -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Genome

Posts with mentions or reviews of Genome. 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 Genome and deep-kernel-transfer you can also consider the following projects:

bioinformatics - Bioinformatic algorithms for the UCLA Bioinformatics Specialization

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

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

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

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

fortuna - A Library for Uncertainty Quantification.

AlphaPy - Python AutoML for Trading Systems and Sports Betting

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

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

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