Jupyter Notebook gaussian-processes

Open-source Jupyter Notebook projects categorized as gaussian-processes
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Topics: bayesian-optimization neural-networks neural-network Fsharp tensorflow-examples
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Top 3 Jupyter Notebook gaussian-process Projects

  • neural-tangents

    Fast and Easy Infinite Neural Networks in Python

    • Project mention: Any Deep ReLU Network Is Shallow | news.ycombinator.com | 2023-06-23

    is used to capture the power of a fully-trained deep net of infinite width.

    https://openreview.net/pdf?id=rkl4aESeUH, https://github.com/google/neural-tangents

    > It has long been known that a single-layer fully-connected neural network with an i.i.d. prior over its parameters is equivalent to a Gaussian process (GP), in the limit of infinite network width.

    https://arxiv.org/abs/1711.00165

    And of course, one needs to look back at SVMs applying a kernel function and separating with a line, which looks a lot like an ANN with a single hidden layer followed by a linear mapping.

    https://stats.stackexchange.com/questions/238635/kernel-meth...

  • mango

    Parallel Hyperparameter Tuning in Python (by ARM-software)

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  • Bayesian-Optimization-in-FSharp

    Bayesian Optimization via Gaussian Processes in F#

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).

Jupyter Notebook gaussian-processes related posts

Index

What are some of the best open-source gaussian-process projects in Jupyter Notebook? This list will help you:

Project Stars
1 neural-tangents 2,221
2 mango 310
3 Bayesian-Optimization-in-FSharp 5

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