R. Sahajpal's Projects
A Python data analysis library that is optimized for humans instead of machines.
Tools for manipulating (exporting, extracting) AgERA5 data
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.
Detect field boundaries using satellite imagery.
Code related to the Alaska Land Carbon Project
Active Learning
Anomalous time series package for R (ACM)
Gro Intelligence API Client
Repository of sample scripts with which one consumes data from Agrimetrics' Data Platform
ApsimRegions is a one-way nested climate-crop modeling framework that links gridded weather data (rain, temperature, radiation, etc.) with the point-specific Agricultural Production Systems sIMulator (APSIM) crop model.
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
Open source technology for agriculture, farming, and gardening
curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Python frameworks, libraries and software
Basic training notebooks
Probabilistic Programming and Bayesian Computing with PyMC
A Satellite Time Series Dataset for Crop Type Identification
An extension of CatBoost to probabilistic modelling
Code for Marchand et al. "Reserves and trade jointly determine exposure to food supply shocks"
A collection of interactive lecture notes and assignments in Jupyter notebook format.
this contains the code for generating the CSIF dataset and the NN parameters
Change Point detection
Conformal classifiers, regressors and predictive systems
Crop Yield Prediction with Deep Learning