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imagingearth's Projects

algorithms

Algorithms + Data Structures Implemented in Python

“Hands-On Machine Learning with Scikit-Learn and TensorFlow” Excerpt From: Aurélien Géron. “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.” iBooks.

avhrr-ltdr

Python scripts to process the AVHRR LTDR (daily observations, BRDF model inversion)

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

aws-doc-sdk-examples

Code examples used in the official AWS SDK documentation.

beam

ESA Earth Observation Toolbox and Java Development Platform

beginning-python-visualization

Beginning Python Visualization

bfast2modis

applying bfast on MODIS NDVI time series for the Advanced Earth Observation Class @ Wageningen University

bfastspatial

Set of utilities and wrappers to perform change detection on satellite image time-series (Landsat and MODIS). Includes pre-processing steps and functions for spatial implementation of bfastmonitor change detection and post processing of the results.

book-example

Example code for my book on TDD with Python

bookdown

Authoring Books with R Markdown

bosssensor

Hide screen when boss is approaching.

brdf_correction

RS data BRDF correction using MODIS products

brdf_kernels

BRDF kernels Python code

caffe

Caffe: a fast open framework for deep learning.

ccdc

Automatically exported from code.google.com/p/ccdc

chitwan_modis_svis

Prepare MODIS MOD13Q1 and MYD13Q1 vegetation products for TIMESAT.

classification-of-hyperspectral-image

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

coding_project

This is where my coding practice and examples are resided

coursera-test

Coursera test repo

crcenvi

ENI/IDL script for Image Analysis

crcpython

Image Analysis, Classification and Change Detection in Remote Sensing

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

d3-book

Code examples for “Interactive Data Visualization for the Web”

d3-maptime

Intro to mapping with D3 for Maptime Boston

d3_in_action_2

Examples for D3.js in Action 2nd Edition (D3v4)

data-analysis

Data Science Using Python

data-science-ipython-notebooks

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

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