Bryan Fuentes's starred repositories

gllvm

Generalized Linear Latent Variable Models

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pathattr

Making R code 200-300x faster using Rust

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UDef-ARP

UDef-ARP was developed by Clark Labs, in collaboration with TerraCarbon, to facilitate implementation of the Verra tool, VT0007 Unplanned Deforestation Allocation (UDef-A).

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diffeR

diffeR R package

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gdalBindings-r

GDAL Bindings for Reading and Writing RasterBlocks

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networkx

Network Analysis in Python

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uncertainty-examples

Uncertainty visualization examples

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lasR

Fast and Pipable Airborne LiDAR Data Tools

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cilantro

A lean C++ library for working with point cloud data

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ForestVegetationSimulator

Forest Vegetation Simulation (FVS) - Growth and Yield Modeling software

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deepsensor

A Python package for tackling diverse environmental prediction tasks with NPs.

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r-polars

Polars R binding

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faiss

A library for efficient similarity search and clustering of dense vectors.

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or-tools

Google's Operations Research tools:

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yggdrasil-decision-forests

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

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tensorstore

Library for reading and writing large multi-dimensional arrays.

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geoarrow

Specification for storing geospatial data in Apache Arrow

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postgresml

The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.

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Xee

An Xarray extension for Google Earth Engine

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splda

Package for conditional spatial LDA

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tukeyedar

An R package of Tukey inspired exploratory data analysis functions

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open-interpreter

A natural language interface for computers

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ahp

Analytical Hierarchy Process (AHP) with R

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hls-foundation-os

This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.

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cuspatial

CUDA-accelerated GIS and spatiotemporal algorithms

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presto

Lightweight, Pre-trained Transformers for Remote Sensing Timeseries

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SamplingStrata

R package for Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys

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