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keras-segnet

SegNet model implemented using keras framework

kittibox

A car detection model implemented in Tensorflow.

kittiseg

A Kitti Road Segmentation model implemented in tensorflow.

label-maker

Data Preparation for Satellite Machine Learning

landlab

Landlab codebase, wiki, and tests

leaflet-choropleth

Choropleth plugin for Leaflet (color scale based on value)

lectures

Oxford Deep NLP 2017 course

lightweight-temporal-attention-pytorch

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

livelihood-vulnerability-of-rubber-farmers-analysis-using-r-and-python-

Find me at:

mapbox-and-r

This is the code and data that accompanies a tutorial about how to use R and Mapbox together to map spatial data.

mapbox-sdk-js

A node.js and browser JavaScript client to Mapbox services

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

mrjob

Run MapReduce jobs on Hadoop or Amazon Web Services

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

mxnet-notebooks

Notebooks for MXNet

my-first-blog

naip_wms

NAIP WMS xml files for qgis

neighborhood_diversity

Shiny application on neighborhood diversity

neural-road-inspector

After a hurricane, roads are often flooded or washed out, making them treacherous for motorists. Using state of the art deep learning methods, I attempted to automatically annotate flooded, washed out, or otherwise severely damaged roads. My goal is create a tool that can help detect and visualize anomalous roads in a simple user interface.

neuralnets

Deep Learning libraries tested on images and time series

nvidia-anaconda-docker

Docker container for running JUPYTER Notebook within an ANACONDA environment, exploiting NVIDIA-DOCKER for GPUs

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms.

pandas-cookbook

Recipes for using Python's pandas library

parkingdirty

Using computer vision to detect if bike lanes are blocked

pix2pix-tensorflow

TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

pixel-decoder

A tool for running deep learning algorithms for semantic segmentation with satellite imagery

planet-amazon-deforestation

plotly

Create interactive web graphics from R via plotly's JavaScript graphing library