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Top 7 kernel-method Open-Source Projects
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awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
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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)
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graphkit-learn
A python package for graph kernels, graph edit distances, and graph pre-image problem.
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DataDrivenDynSyst
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
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hotstepper
A Numpy based step function library for analysis and profit. More than just taking you up and down.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
kernel-methods related posts
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[Research] Optimizing a kernel matrix
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[D] Have we abandoned kernels?
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GitHub repo of links to Graph ML papers and code
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[D] why did kernel methods become less popular than neural networks?
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[R][P] graphkit-learn: A Python Library for Graph Kernels Based on Linear Patterns
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A note from our sponsor - InfluxDB
www.influxdata.com | 21 May 2024
Index
What are some of the best open-source kernel-method projects? This list will help you:
Project | Stars | |
---|---|---|
1 | awesome-graph-classification | 4,698 |
2 | DynaML | 198 |
3 | deep-kernel-transfer | 190 |
4 | falkon | 174 |
5 | graphkit-learn | 120 |
6 | DataDrivenDynSyst | 64 |
7 | hotstepper | 14 |
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