edtrochim Goto Github PK
Name: Erin Trochim
Type: User
Company: University of Alaska Fairbanks
Name: Erin Trochim
Type: User
Company: University of Alaska Fairbanks
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.
Jupyter notebooks and Python scripts for processing satellite imagery for use in training a CNN with TensorFlow
Using Flickr data to map arctic ES - CONNECT project
Code and walkthrough labs to set up serverless applications for Wild Rydes workshops
An R library for rapid watershed delineation
Python module to extract point time series from the Climate Forecast System Reanalysis via NOAA's NOMADS system
Team project aimed at extracting sections of tracklines, and identifying bathymetry and coastal morphology - can be extended to other questions!
Global shoreline mapping tool from satellite imagery
A ContinualAI repository for tutorials and demo running on Google Colaboratory.
Collect Earth Online
Dash App for Community Permafrost Data in Alaska
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
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.
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)
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 modelโs annualized return, improvement from buy/hold, percent profitable trades, profit factor, max drawdown
Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
Keras implementation of the Deep Temporal Clustering (DTC) model
A cloud masking algorithm for Sentinel-2 imagery utilizing Keras, Tensorflow, and GDAL.
An R package for climate data bias correction and downscaling (part of the climate4R bundle)
Python and JavaScript bindings for calling the Earth Engine API.
Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine.
Delineating floods on SAR images with Google Earth Engine and Tensorflow
Primer for Google Earth Engine
A series of Jupyter notebook to learn Google Earth Engine with Python
Functions and Python scripts to ingest ERA5 data into Google Earth Engine
Satellite Image Classification using semantic segmentation methods in deep learning
Predicting precipitation by building neural networks with tensorflow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.