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Data Science Using Python

Code examples used in the official AWS SDK documentation.

High-level functionality for the inventory, download and pre-processing of Sentinel-1 data in the python language.

tools for InSAR processing on AWS

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

This is the MULTIPLY repository containing the functionality for SAR pre processing.

Python Data Science Handbook: full text in Jupyter Notebooks

Algorithms + Data Structures Implemented in Python

Python 3D coordinate conversions for geospace ecef enu wgs84

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

Aerial imagery analysis, processing, and presentation scripts.

OpenDroneMap is a tool to postprocess drone, balloon, kite, and street view data to geographic data including orthophotos, point clouds, & textured mesh. In the tradition of the Ship of Theseus, it…

Code for constructing the urban environments dataset and for land use classification via convolutional neural networks

3D Mathematics for Python

Learn OpenCV : C++ and Python Examples

Nvector is a suite of tools written in Python to solve geographical position calculations.

Caffe: a fast open framework for deep learning.

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

Tensorflow notes

This is a collection of geostatistical scripts written in Python

Introduction to Deep Neural Networks with Keras and Tensorflow

Computation using data flow graphs for scalable machine learning