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buildingdetectors

Winning building footprint detector implementations from the SpaceNet challenges.

buildingdetectorvisualizer

The purpose of the visualizer application is to let you view 3-band and 8-band images, view ground truth building footprints and your solution's building footprint as overlays on these images, compare truth to solution and calculate your solution's score.

caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

gtd-attack_sagarwork

how_to_deploy_a_keras_model_to_production

This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube

imagr_project

Deep Learning , Machine Learning

k-means-without-libraries

keras-retinanet

Keras implementation of RetinaNet object detection.

laika

Experiments with satellite image data

sagardatascientists

Config files for my GitHub profile.

satellite-image-deep-learning

Resources for performing deep learning on satellite imagery

smoothly-blend-image-patches

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

ssd-spacenet

Detect buildings in the Spacenet satellite imagery dataset using Single Shot MultiBox Detector (SSD)

tensorflow

Computation using data flow graphs for scalable machine learning

ultrasound-nerve-segmentation

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras

unet

unet for image segmentation

usbuildingfootprints

Computer generated building footprints for the United States

waterbodies_classification