kernel-methods

Open-source projects categorized as kernel-methods

Top 7 kernel-method Open-Source Projects

  • awesome-graph-classification

    A collection of important graph embedding, classification and representation learning papers with implementations.

  • DynaML

    Scala Library/REPL for Machine Learning Research

  • InfluxDB

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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)

  • falkon

    Large-scale, multi-GPU capable, kernel solver (by FalkonML)

  • graphkit-learn

    A python package for graph kernels, graph edit distances, and graph pre-image problem.

  • DataDrivenDynSyst

    Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

  • hotstepper

    A Numpy based step function library for analysis and profit. More than just taking you up and down.

  • SaaSHub

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

kernel-methods related posts

  • [Research] Optimizing a kernel matrix

    2 projects | /r/MachineLearning | 26 Nov 2021
  • [D] Have we abandoned kernels?

    1 project | /r/MachineLearning | 8 Jun 2021
  • GitHub repo of links to Graph ML papers and code

    1 project | news.ycombinator.com | 3 Jun 2021
  • [D] why did kernel methods become less popular than neural networks?

    2 projects | /r/MachineLearning | 22 Apr 2021
  • [R][P] graphkit-learn: A Python Library for Graph Kernels Based on Linear Patterns

    1 project | /r/MachineLearning | 16 Jan 2021
  • A note from our sponsor - InfluxDB
    www.influxdata.com | 21 May 2024
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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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