ritviksahajpal

R. Sahajpal's repositories

agate

A Python data analysis library that is optimized for humans instead of machines.

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data-science-ipython-notebooks

Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.

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dnppy

DEVELOP National Program Python package for use with NASA data and GIS!

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meteoForecast

A package to access outputs from Numerical Weather Prediction models both in raster format and as a time series for a location

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open-geo-tutorial

Tutorial of basic remote sensing and GIS methodologies using open source software (GDAL in Python or R)

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Py6S

A Python interface to the 6S Radiative Transfer Model

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pyModis

python library to work with MODIS data

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time-maps

PDF and python files for creating time maps and downloading tweets

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AL

Active Learning

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anomalous-acm

Anomalous time series package for R (ACM)

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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.

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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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awesome-python

A curated list of awesome Python frameworks, libraries and software

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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.

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