An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
-
Updated
Aug 11, 2025 - Julia
#
statistical-learning
Here are 7 public repositories matching this topic...
Statistical Models with Regularization in Pure Julia
-
Updated
Dec 13, 2021 - Julia
A Julia package for estimating directed connectivity in whole-brain networks
-
Updated
Aug 7, 2025 - Julia
Optimization approach to the trimmed Lasso penalty for sparse modeling
-
Updated
Aug 24, 2017 - Julia
Built-in solvers for the GeoStats.jl framework
machine-learning interpolation distance statistical-learning regression weighting estimation fft nearest-neighbors gaussian-processes covariance geostatistics variogram lu-decomposition spectral-methods kdtree geostatistical-learning
-
Updated
Dec 29, 2023 - Julia
Geostatistical learning solvers for the GeoStats.jl framework
-
Updated
Aug 29, 2022 - Julia
Improve this page
Add a description, image, and links to the statistical-learning topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the statistical-learning topic, visit your repo's landing page and select "manage topics."