Python gaussian-processes

Open-source Python projects categorized as gaussian-processes
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Topics: Machine Learning Python reinforcement-learning Tensorflow Deep Learning
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Top 9 Python gaussian-process Projects

  • d2l-en

    Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  • BayesianOptimization

    A Python implementation of global optimization with gaussian processes.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • GPflow

    Gaussian processes in TensorFlow

  • PILCO

    Bayesian Reinforcement Learning in Tensorflow

  • deep-kernel-transfer

    Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

  • Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control

    Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

  • Gumbi

    Gaussian Process Model Building Interface

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • bbai

    Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

    • Project mention: Cubic Spline Interpolation | news.ycombinator.com | 2023-10-22

    > In fact, polynomial interpolants in Chebyshev points are problem-free when evaluated by the barycentric interpolation formula. They have teh same behavior as discrete Fourier series for period functions, whose reliability nobody worries about. The introduction of splines is a red herring: the true advantage of splines is not that they converge where polynomials fail to do so, but that they are more easility adapted to irregular point distributions and more localized.

    You can see also the software package https://www.chebfun.org/ for Chebyshev interpolations with Matlap and https://github.com/rnburn/bbai for interpolation Chebyshev interpolations of arbitrary dimension functions with sparse grids for Python.

  • skbel

    SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

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).

Python gaussian-processes related posts

Index

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

Project Stars
1 d2l-en 21,628
2 BayesianOptimization 7,481
3 GPflow 1,798
4 PILCO 306
5 deep-kernel-transfer 190
6 Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control 114
7 Gumbi 48
8 bbai 41
9 skbel 20

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