ritviksahajpal
Dr. Ritvik Sahajpal is Associate Research Professor, Department of Geographical Sciences at University of Maryland, crop condition co-lead at NASA Harvest
University of Maryland
Pinned Repositories
agate
A Python data analysis library that is optimized for humans instead of machines.
agera5tools
Tools for manipulating (exporting, extracting) AgERA5 data
CropRotations
EPIC
Framework to create EPIC input files, run the model and extract outputs
geeet
Evapotranspiration (ET) models for use in python and with integration into Google Earth Engine
geoprepare
A Python package to prepare (download, extract, process input data) for GEOCIF and related models
GlobalCropRotations
GrasslandLoss_WimberlyPNAS2013
Grassland Loss
pygeoutil
yield_forecasting
ritviksahajpal's Repositories
ritviksahajpal/geoprepare
A Python package to prepare (download, extract, process input data) for GEOCIF and related models
ritviksahajpal/pygeoutil
ritviksahajpal/yield_forecasting
ritviksahajpal/engn3903
ENGN3903 - Environmental Sensing, Mapping and Modelling
ritviksahajpal/EuroCrops
The official repository for the EuroCrops dataset.
ritviksahajpal/jdeskew
Document Image Skew Estimation, Skew Correction, Deskew
ritviksahajpal/PyData-Global-2021-Causal-Inference-Talk
Slides and code for "Sliding Into Causal Inference" talk
ritviksahajpal/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.
ritviksahajpal/ARSET23
ritviksahajpal/basic_training
Basic training notebooks
ritviksahajpal/bayes_pydata_london_2024
Probabilistic Programming and Bayesian Computing with PyMC
ritviksahajpal/CatBoostLSS
An extension of CatBoost to probabilistic modelling
ritviksahajpal/crepes
Conformal classifiers, regressors and predictive systems
ritviksahajpal/crop-growth-prediction
ritviksahajpal/E2EVAP
ritviksahajpal/food-system-digital-twin
Work Related to a proof of concept Food System Digital Twin
ritviksahajpal/fpcup
Consistent retrieval of crop yields using a data assimilation platform.
ritviksahajpal/GEE_Zonal
Collection of python tools for running zonal stats on Google Earth Engine layers
ritviksahajpal/geospaNN
ritviksahajpal/greeness
"NASA ABOVE project"
ritviksahajpal/Label-efficient-in-Agriculture
ritviksahajpal/NitrogenRetrieval
Code and coefficients for retrieving Nitrogen content from Tanager reflectance data over agricultural vegetation landscapes.
ritviksahajpal/octvi
Python package for downloading, mosaicking, or compositing MODIS-scale NDVI imagery
ritviksahajpal/powershap
A power-full Shapley feature selection method.
ritviksahajpal/pygwalker
PyGWalker: Turn your pandas dataframe into a Tableau-style User Interface for visual analysis
ritviksahajpal/segment-anything-eo
Earth observation tools for Meta AI Segment Anything
ritviksahajpal/sentinel-tree-cover
Image segmentations of trees outside forest
ritviksahajpal/uncertainty-vis-course
ritviksahajpal/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".
ritviksahajpal/xrml
A lightweight machine learning framework for Xarray