reidfalconer

stanford-cs-221-artificial-intelligence

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

SpaceNet_Off_Nadir_Solutions

Winning algorithms for the SpaceNet 4: Off-Nadir Building Footprint Detection Challenge

geocompr

Geocomputation with R: an open source book

u-net-segmentation-example

An example Jupyter notebook for image segmentation using U-Net and Brine

crop_yield_prediction

Crop Yield Prediction with Deep Learning

urban-environments

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

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

EuroSAT

EuroSAT: Land Use and Land Cover Classification with Sentinel-2

DeepLidar

LIDAR and RGB Deep Learning Model for Individual Tree Segmentation

Crop_Yield_Prediction

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

tf-meetup-reinforce

Slides and code for the introduction to Reinforcement Learning session at the Barcelona TensorFlow Meetup (October 4, 2018)

fastai

The fastai deep learning library

code_snippets

Malawi

Processing Malawi IHS wave from 2011, 2013 and 2016

YOLO_Object_Detection

This is the code for "YOLO Object Detection" by Siraj Raval on Youtube

poverty-predictor

satimage

Code and models for the manuscript "Predicting Poverty and Developmental Statistics from Satellite Images using Multi-task Deep Learning"

Aerial-Imagery

Data Science Research Project: Map poverty using satellite images.

Poverty-Prediction-by-Satellite-Imagery

Poverty Prediction by Combination of Satellite Imagery

raster-vision

An open source library and framework for deep learning on satellite and aerial imagery.

predicting-poverty

Combining satellite imagery and machine learning to predict poverty