R. Sahajpal's repositories

geoprepare

A Python package to prepare (download, extract, process input data) for GEOCIF and related models

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geeet

Evapotranspiration (ET) models for use in python and with integration into Google Earth Engine

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engn3903

ENGN3903 - Environmental Sensing, Mapping and Modelling

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EuroCrops

The official repository for the EuroCrops dataset.

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GridFree

An App counts the number of components in an image.

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jdeskew

Document Image Skew Estimation, Skew Correction, Deskew

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PyData-Global-2021-Causal-Inference-Talk

Slides and code for "Sliding Into Causal Inference" talk

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Workshop2022

Using Earth observation for Crop Monitoring (iEOCM) Workshop

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AgML

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

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basic_training

Basic training notebooks

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bayes_pydata_london_2024

Probabilistic Programming and Bayesian Computing with PyMC

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CatBoostLSS

An extension of CatBoost to probabilistic modelling

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crepes

Conformal classifiers, regressors and predictive systems

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food-system-digital-twin

Work Related to a proof of concept Food System Digital Twin

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GEE_Zonal

Collection of python tools for running zonal stats on Google Earth Engine layers

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greeness

"NASA ABOVE project"

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NitrogenRetrieval

Code and coefficients for retrieving Nitrogen content from Tanager reflectance data over agricultural vegetation landscapes.

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octvi

Python package for downloading, mosaicking, or compositing MODIS-scale NDVI imagery

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powershap

A power-full Shapley feature selection method.

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pygwalker

PyGWalker: Turn your pandas dataframe into a Tableau-style User Interface for visual analysis

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segment-anything-eo

Earth observation tools for Meta AI Segment Anything

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sentinel-tree-cover

Image segmentations of trees outside forest

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XAI-tool4GEE

This is the repository for the paper titled, "Enhancing Land Cover Mapping and Monitoring: An Interactive and Explainable Machine Learning Approach using Google Earth Engine".

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xrml

A lightweight machine learning framework for Xarray

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