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300days__machinelearningdeeplearning

I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.

antarctic_plots

Functions to automate Antarctic data visualization

arcpython

Python scripts for ArcGIS desktop

arset_ml_fundamentals

Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"

asdf

Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more

autorift

A Python module of a fast and intelligent algorithm for finding the pixel displacement between two images

autoviz

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

awesome-gee

A curated list of Google Earth Engine resources

awesome-gee-community-datasets

Community Datasets added by users and made available for use at large

awesome-geospatial

Long list of geospatial tools and resources

awesome-google-earth-engine

Curated list of Google Earth Engine resources

awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

awesome-sar

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

awesome-spectral-indices

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

blendergis

Blender addons to make the bridge between Blender and geographic data

bqplot

Plotting library for IPython/Jupyter notebooks

calculate-precipitation-based-agricultural-drought-indices-with-python

Precipitation-based indices are generally considered as the simplest indices because they are calculated solely based on long-term rainfall records that are often available. The mostly used precipitation-based indices consist of Decile Index (DI) Hutchinson Drought Severity Index (HDSI) Percen of Normal Index (PNI) Z-Score Index (ZSI) China-Z Ind

captoolkit

NASA’s Cryosphere Altimetry Processing Toolkit

causal_inference_r_workshop

Causal Inference in R Workshop

chatgpt-data-science-prompts

A repository of 60 useful data science prompts for ChatGPT

climate_tutorial

cmip6_downscaling

computational-arctic-workshop

March 2023 workshop on computational approaches to studying high-latitude landscapes

continuouslst

crop-mask

End-to-end workflow for generating high resolution cropland maps

crop-yield-prediction-dsg

cropinsure

croptypemapping

cryohackathon2023

data-science-ipython-notebooks-1

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, Spark, Hadoop MapReduce, HDFS, matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes