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Name: Mingxi Zhang
Type: User
Company: Curtin university
Bio: Research Associate
Location: Perth
Name: Mingxi Zhang
Type: User
Company: Curtin university
Bio: Research Associate
Location: Perth
A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images
A Python implementation of global optimization with gaussian processes.
Implementation of Convolutional LSTM in PyTorch.
Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification
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, Intent Recognition with BERT)
Deep learning for multi-year ENSO forecasts Reproduction
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Iowa Daily Erosion Project (version 2)
Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistical downscaling of gridded data
Deep learning models for global weather prediction on a cubed sphere
Visualize the results of the historic 2018 drought in The Netherlands.
Python and JavaScript bindings for calling the Earth Engine API.
Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine.
The package extends the functionality of Google Earth Engine API to implement cloud detection algorithms.
This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust Source Investigation (EMIT) mission.
calculates rainfall erosivity using precipitation time series
An integrated XAI package including ALE, PDP, ICE LIME and Shapley.
Fully convolutional recurrent networks for crop recognition
This repository contains python notebooks taken from Coursera course "Fundamentals of Digital Image and Video Processing", taught at Northwestern University
Cheat sheet for GDAL/OGR command-line tools
Penman-Monteith-Leuning Evapotranspiration in GEE
UCL Geography: 4th year course, Scientific Computing
This code converts GeoJSON to shape files.
The ghcnd_access toolbox is utilised to extract data from the Global Historical Climatology Network (GHCN)-Daily database and change the .dly file format into a more accessible structure. The toolbox can be run in either MATLAB or open source alternative GNU Octave.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.