mdanilevicz Goto Github PK
Name: MO Danilevicz
Type: User
Company: University of Western Australia
Bio: Machine/ Deep Learning Bioinformatics and Plant Biotechnology
Twitter: MDanilevicz
Location: Australia
Name: MO Danilevicz
Type: User
Company: University of Western Australia
Bio: Machine/ Deep Learning Bioinformatics and Plant Biotechnology
Twitter: MDanilevicz
Location: Australia
Yield Prediction and Variety Recommendations for Southern India
Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.
MicaSense RedEdge and Altum image processing tutorials
Forked from a UWA NLP-TLP group tutorial
Repository with the code for predicting the yield of crop varieties using deep learning and early phenotype data.
Config files for my GitHub profile.
Some scripts used for porcessing multispectral images.
Pytorch implementation of convolutional neural network visualization techniques
Code repository for sandplain lupin detection paper. Deep learning model for segmentation of morphologically similar weed and crop species
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.