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r-spatial/sf
Simple Features for R
R
#gdal#geos#proj#r#r-package
1 awesome list
5528 commits
first commit 2015-11-06
2 history points
updated 2026-05-27
liquidSVM/liquidSVM
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
C++
#apache-spark#c-plus-plus#classification#expectile-regression#machine-learning
1 awesome list
48 commits
first commit 2017-04-22
3 history points
updated 2020-02-20
Model-R/modleR
An ecological niche model workflow based on dismo
R
#dismo#ecological-niche-models#r#r-package#rstats
1 awesome list
533 commits
first commit 2017-09-09
2 history points
updated 2025-08-09