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Name: aniucd
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Name: aniucd
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Introduces an approach for object detection in an image with sliding window. The repository contains three files, make_data.py reads the image in gray scale and converts the image into a numpy array. The labels are also appended based on the file name. In this case, if the file name starts with "trn", then 1 is appended else 0. Finally, all the images and labels are saved into .npy file. The test-model-1.py file loads the images and converts the labels into two categories as we are doing binary classification of images. The model is built using keras with theano as backend. In this case, the best training accuracy was 80% since the data was just 500 images and the testing accuracy was 67%
Tutorial of basic remote sensing and GIS methodologies using open source software (GDAL in Python or R)
A pytorch implementation of "Image-to-Image Translation with Conditional Adversarial Networks"
The Places365-CNNs
Plotting library experiments using WebGL and Canvas2D to apply color scale to a bufferarray object.
Combining satellite imagery and machine learning to predict poverty
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Introduction to python use in geosciences.
Simple examples to introduce PyTorch
PyTorch Implementation of The One Hundred Layers Tiramisu for Semantic Image Segmentation
Spatial data in R: using R as a GIS
Able to generate RASOR compliant flood maps from Sentinel-1 SAR images.
Weather Sensor/program for the Raspberry Pi B+
:exclamation: This is a read-only mirror of the CRAN R package repository. raster — Geographic Data Analysis and Modeling. Homepage: http://cran.r-project.org/package=raster
Rasterio reads and writes geospatial raster datasets
Repo to test possibilities for raster management
Upload and convert spatial data to fusion table from R
pansharpening landsat scenes
Ice/water classification of Sentinel1 SAR data
R functions for the simulation of multispectral data based on hyperspectral
I have a suite of R Markdown templates for academic manuscripts, beamer presentations, and syllabi. I share them here.
Analysis of land use and cover change using satellite imagery
"Deep Learning with TensorFlow" LiveLessons
Enabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery.
Deep learning library featuring a higher-level API for TensorFlow.
Unmanned Aerial Vehicle R based Mission Planner
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.