AugmentedGaussianProcesses.jl Files

Gaussian Process package based on data augmentation, and sparsity

This is an exact mirror of the AugmentedGaussianProcesses.jl project, hosted at https://github.com/theogf/AugmentedGaussianProcesses.jl. SourceForge is not affiliated with AugmentedGaussianProcesses.jl. For more information, see the SourceForge Open Source Mirror Directory.

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
Parent folder
README.md	2021-10-07	314 Bytes	0
v0.11.1 source code.tar.gz	2021-10-07	1.2 MB	0
v0.11.1 source code.zip	2021-10-07	1.2 MB	0
Totals: 3 Items		2.4 MB	0

AugmentedGaussianProcesses v0.11.1

Diff since v0.11.0

Merged pull requests: - Use GPLikelihoods.jl (#108) (@theogf) - Add better testing and update on multi-output GPs (#109) (@theogf) - Fixes doc fail (#110) (@theogf)

Source: README.md, updated 2021-10-07

Other Useful Business Software

Level Up Your Cyber Defense with External Threat Management

See every risk before it hits. From exposed data to dark web chatter. All in one unified view.

Move beyond alerts. Gain full visibility, context, and control over your external attack surface to stay ahead of every threat.

Try for Free

Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.

Start Free

Recommended Projects

PyMC
PyMC is a Python library for probabilistic programming focused on Bayesian statistical modeling and machine learning. Built on top of computational tools like Aesara and NumPy, PyMC allows users to define models using intuitive syntax and perform inference using MCMC, variational inference, and...
EvoTrees.jl
A Julia implementation of boosted trees with CPU and GPU support. Efficient histogram-based algorithms with support for multiple loss functions, including various regressions, multi-classification and Gaussian max likelihood.
raxmlGUI
RELEASE NOTE: Get raxmlGUI 2.0 at the NEW PROJECT LOCATION: https://antonellilab.github.io/raxmlGUI/ raxmlGUI is a graphical user interface to RAxML, one of the most popular and widely used software for phylogenetic inference using maximum likelihood. A userfriendly graphical front-end for...
Chronos Forecasting
Chronos is a family of pretrained time series forecasting models based on language model architectures. A time series is transformed into a sequence of tokens via scaling and quantization, and a language model is trained on these tokens using the cross-entropy loss. Once trained, probabilistic...
easy-dhpsf
This package of MATLAB routines with accompanying GUI allows scientific users to measure the 3D location of single molecules when using the double-helix point spread function (DH-PSF) widefield microscope. Version 2 also includes code that facilitates combining localization data from two...

AugmentedGaussianProcesses.jl Files

Gaussian Process package based on data augmentation, and sparsity

Get an email when there's a new version of AugmentedGaussianProcesses.jl

AugmentedGaussianProcesses v0.11.1