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Name: N. Lakmal Deshapriya
Type: User
Company: Geoinformatics Center (GIC) of AIT
Bio: AI and Machine Learning Researcher. And Geo-spatial Data Analyst.
Location: Thailand and Sri Lanka
Name: N. Lakmal Deshapriya
Type: User
Company: Geoinformatics Center (GIC) of AIT
Bio: AI and Machine Learning Researcher. And Geo-spatial Data Analyst.
Location: Thailand and Sri Lanka
This repository is about prediction of tertiary structure of proteins from the primary structure of proteins (sequences of amino acids). So here, I'm trying to build a neural network that can input sequence of amino acids and output 3D structure of proteins (coordinates of major atoms in proteins that define the overall shape of the protein).
This algorithm counts vehicles passing through a particular line on a stable video (Drone). Here I use simple background extracting techniques (just with simple statistics) to do that.
This repository provides implementation simplified Variational Autoencoder (VAE), producing smooth latent space completely unsupervised manner. And this can be used as generative model as well.
This repository provides an implementation of Vec2Instance over the SpaceNet challenge AOI 2 (Vegas) building footprint dataset. Vec2Instance provides a framework for parametrization of instances, allowing convolutional neural networks to efficiently estimate the complex shapes of instances around their centroids.
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