edtrochim Goto Github PK

amazon-rekognition-video-analyzer

A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.

aqua_python

Jupyter notebooks and Python scripts for processing satellite imagery for use in training a CNN with TensorFlow

arctic_flickr

Using Flickr data to map arctic ES - CONNECT project

asf-jupyter-notebooks

aws-serverless-workshops

Code and walkthrough labs to set up serverless applications for Wild Rydes workshops

basin-delineation

An R library for rapid watershed delineation

cfsr_site_extractor

Python module to extract point time series from the Climate Forecast System Reanalysis via NOAA's NOMADS system

coastal_topobathy

Team project aimed at extracting sections of tracklines, and identifying bathymetry and coastal morphology - can be extended to other questions!

coastsat

Global shoreline mapping tool from satellite imagery

colab

A ContinualAI repository for tutorials and demo running on Google Colaboratory.

collect-earth-online

Collect Earth Online

community-permafrost

Dash App for Community Permafrost Data in Alaska

cubesat

data-science-resources

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis)

deep-learning-framework-for-financial-time-series-prediction-in-python-keras

Randomly partitions time series segments into train, development, and test sets; Trains multiple models optimizing parameters for development set, final cross-validation in test set; Calculates model’s annualized return, improvement from buy/hold, percent profitable trades, profit factor, max drawdown

deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

deeptemporalclustering

Keras implementation of the Deep Temporal Clustering (DTC) model

dl_cloudmask

A cloud masking algorithm for Sentinel-2 imagery utilizing Keras, Tensorflow, and GDAL.

downscaler

An R package for climate data bias correction and downscaling (part of the climate4R bundle)

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

ee-tensorflow-notebooks

Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine.

ee_disso

Delineating floods on SAR images with Google Earth Engine and Tensorflow

eeprimer

Primer for Google Earth Engine

eewpython

A series of Jupyter notebook to learn Google Earth Engine with Python

era5_in_gee

Functions and Python scripts to ingest ERA5 data into Google Earth Engine

eye-in-the-sky

Satellite Image Classification using semantic segmentation methods in deep learning

flood_linear_model

Predicting precipitation by building neural networks with tensorflow