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⚡ TabPFN: Foundation Model for Tabular Data ⚡
Tutorial describing how to run SAM2 on a geotiff-file and export the resulting masks to a georeferenced geopackage vector file
LandTrendr Code (from /projectnb/trenders/code/LandTrendr2012)
实时监控文件夹，创建与更新软链接/strm文件，自动复制与更新元数据，清空无效文件夹，清空无效软链接
Codes and data for Unmixing
Minimum-volume constrained non-negative matrix factorisation, adapted into Python from L. Miao and H. Qi, "Endmember Extraction From Highly Mixed Data Using Minimum Volume Constrained Nonnegative M…
Spectroscopy analysis, Tetracorder spectral identification and radiative transfer software
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
Community Datasets added by users and made available for use at large
Fast CPU and GPU Python implementations of Improved Kernel PLS by Dayal and MacGregor (1997) and Shortcutting Cross-Validation by Engstrøm (2024).
Add custom effect to global system title bar, support win10 and win11.
This repository is a place to find data user resources that demonstrate how to use LP DAAC tools, services, and data.
remotePARTS is a set of tools for running Partitioned spatio-temporal auto regression analyses on remotely-sensed data sets.
Jupyter notebook-based tutorials to learn how to access and work with select NSIDC DAAC data.
A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews
This repository provides Python Jupyter notebook examples to help users work with VSWIR and TIR data from the EMIT and ECOSTRESS missions.
(hyper)spectral data processing with spectral invariants (p-theory)
FIELDimageR: A R package to analyze orthomosaic images from agricultural field trials. This package is a compilation of functions to analyze pos-mosaicking images from research fields, and allows t…
Integrate your chemometric tools with the scikit-learn API 🧪 🤖
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
Workshop exercises on regression, GLMs, mixed-effects models, and GLMMs in R
Raster-based Spatial Analytics for Python
A comprehensive, user-friendly toolkit for visualizing and analyzing statistical interactions. A spinoff from the `jtools` package.
Combining tree-boosting with Gaussian process and mixed effects models
Quantifying changes in the dynamics of U.S. forests using national forest inventory data