-
Harvard University
- Cambridge, MA
-
09:02
(UTC -04:00) - https://xiangliu-github.github.io/
Stars
Natural Gradient Boosting for Probabilistic Prediction
⚡ Easy API access to the tabular foundation model TabPFN ⚡
An extension of CatBoost to probabilistic modelling
An extension of XGBoost to probabilistic modelling
An extension of LightGBM to probabilistic modelling
A Python Command Line Interface for classifying fire events from the Collection 6 MODIS Burned Area Product.
❗ This is a read-only mirror of the CRAN R package repository. GHCNr — Download Weather Station Data from GHCNd
R package to fit species distribution models (SDMs) using the 'tidymodels' framework
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
Lagrangian Atmospheric moisTure and heaT trackINg (LATTIN)
Utrecht atmospheric moisture tracking model
Code for Retrieving STAC Information, addressing Repeated Spatial Infelicities and interfacing with Rsome Spectral Indices
Functions to Automate Downloading Geospatial Data Available from Several Federated Data Sources
Fortune's sweep algorithm for voronoi tesselation and delaunay triangulation
Add alluvial / sankey diagram layers to a ggplot
https://csstipendrankings.org
Color Schemes based around artwork and the Museum of Modern Art.
LaTeX template for the response to reviewer comments (scientific journal publications)
CRAN R Package: Ridge Regression with automatic selection of the penalty parameter