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/CropRotations
ritviksahajpal/agate
A Python data analysis library that is optimized for humans instead of machines.
ritviksahajpal/dnppy
DEVELOP National Program Python package for use with NASA data and GIS!
ritviksahajpal/GlobalCropRotations
ritviksahajpal/time-maps
PDF and python files for creating time maps and downloading tweets
ritviksahajpal/weather_generator
ritviksahajpal/anomalous-acm
Anomalous time series package for R (ACM)
ritviksahajpal/apsimRegions
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.
ritviksahajpal/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
ritviksahajpal/awesome-python
A curated list of awesome Python frameworks, libraries and software
ritviksahajpal/ggcmi
GGCMI codes
ritviksahajpal/Hyperspectral
Deep Learning for Land-cover Classification in Hyperspectral Images.
ritviksahajpal/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
ritviksahajpal/LUH2
ritviksahajpal/ML_CMS
ritviksahajpal/mpas_xarray
wrapper to allow input of mpas data into xarray
ritviksahajpal/my_notebooks
A place for notebooks without a home :-(
ritviksahajpal/ngcm_pandas_2016
Python data analysis course for 2016 NGCM Summer Academy
ritviksahajpal/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
ritviksahajpal/plthacks
Python matplotlib wrapper for speeding up and tweaking plots
ritviksahajpal/probability_cheatsheet
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
ritviksahajpal/pyTSEB
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
ritviksahajpal/Sentinel-download
Automated download of Sentinel-2 L1C data from ESA (through wget) :http://olivierhagolle.github.io/Sentinel-download
ritviksahajpal/SimpleCrop
Ricardo Braga's Simple Crop model. Used as a simple example of a modular crop model in the style of DSSAT-CSM.
ritviksahajpal/sklearn-expertsys
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
ritviksahajpal/sklearn-forest-ci
Confidence intervals for scikit learn forest algorithms
ritviksahajpal/threddsclient
ritviksahajpal/TimeSeriesAnalysiswithPython
Time Series Analysis with Python
ritviksahajpal/tpot
A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.
ritviksahajpal/treeinterpreter