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The Wayback Machine - https://web.archive.org/web/20221011083457/https://github.com/topics/gaussian-processes
Here are
613 public repositories
matching this topic...
Machine learning, in numpy
Updated
Jun 11, 2022
Python
A Python implementation of global optimization with gaussian processes.
Updated
Oct 10, 2022
Python
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Updated
Oct 3, 2022
Python
Fast and Easy Infinite Neural Networks in Python
Updated
Sep 14, 2022
Jupyter Notebook
Gaussian processes in TensorFlow
Updated
Oct 10, 2022
Python
Notebooks about Bayesian methods for machine learning
Updated
Jan 19, 2021
Jupyter Notebook
Kriging Toolkit for Python
Updated
Aug 23, 2022
Python
🎩 An easy and fast library to apply gaussian blur filter on any images.
Updated
Apr 28, 2022
Java
Fast and flexible Gaussian Process regression in Python
An extensible framework for high-performance geostatistics in Julia
Updated
Oct 9, 2022
Julia
Combining tree-boosting with Gaussian process and mixed effects models
Probabilistic Programming with Gaussian processes in Julia
Updated
Jun 3, 2022
Julia
Bayesian Reinforcement Learning in Tensorflow
Updated
Feb 15, 2021
Python
Python code for bayesian optimization using Gaussian processes
Updated
Dec 6, 2016
Jupyter Notebook
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
Updated
Apr 5, 2021
Python
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Gaussian Process Motion Planner 2
Julia package for kernel functions for machine learning
Updated
Oct 10, 2022
Julia
Scala Library/REPL for Machine Learning Research
Updated
Oct 5, 2022
Scala
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