Pinned Repositories
2d-to-3d-bim-model-tool
Automatic-Data-Exchange
Data Exchange tool (Civil 3D and Excel)
Automatic-Property-Insertion-Civil-3D
Property Insertion Civil 3D
Concrete-Crack-Detection-Segmentation
📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
Konstantinos-Portfolio
This is my Portfolio repository
Machine-learning-for-a-solar-power-plant
🚀 This is the final project during my 3 month bootcamp studies at Propulsion Academy Zurich. It was a collaboration with Nispera AG Zurich.
Point_Cloud_Semantic_Segmentation
Predicting-Home-Prices
🏡This data science project series is about building a real estate price prediction website. First, I built a model using sklearn and linear regression using Melbourne home prices dataset from kaggle.com. Second step would be to write a python flask server that uses the saved model to serve http requests. Third component is the website built in html, css and javascript that allows user to enter home square ft area, bedrooms etc and it will call python flask server to retrieve the predicted price.
Selecting-best-location-for-a-retail-store
📈 Finding the best possible area for a new store to open in Zurich
web-ifc-three
The official IFC Loader for Three.js.
konskyrt's Repositories
konskyrt/Concrete-Crack-Detection-Segmentation
📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
konskyrt/Automatic-Property-Insertion-Civil-3D
Property Insertion Civil 3D
konskyrt/Machine-learning-for-a-solar-power-plant
🚀 This is the final project during my 3 month bootcamp studies at Propulsion Academy Zurich. It was a collaboration with Nispera AG Zurich.
konskyrt/Predicting-Home-Prices
🏡This data science project series is about building a real estate price prediction website. First, I built a model using sklearn and linear regression using Melbourne home prices dataset from kaggle.com. Second step would be to write a python flask server that uses the saved model to serve http requests. Third component is the website built in html, css and javascript that allows user to enter home square ft area, bedrooms etc and it will call python flask server to retrieve the predicted price.
konskyrt/Automatic-Data-Exchange
Data Exchange tool (Civil 3D and Excel)
konskyrt/Konstantinos-Portfolio
This is my Portfolio repository
konskyrt/Point_Cloud_Semantic_Segmentation
konskyrt/Selecting-best-location-for-a-retail-store
📈 Finding the best possible area for a new store to open in Zurich
konskyrt/web-ifc-three
The official IFC Loader for Three.js.
konskyrt/2d-to-3d-bim-model-tool
konskyrt/Automatic-Coloring-of-Elements-Civil-3D
Changing of the colors of Elements according to a selected Property value
konskyrt/Creation-of-distances-between-two-3d-lines-with-an-interval
konskyrt/credit-card-transactions-classification
konskyrt/DeepCrack
DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.
konskyrt/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
konskyrt/ifc-dashboard-app
Ifc Dashboard summary app
konskyrt/ifc_app
konskyrt/IfcOpenShell
Open source IFC library and geometry engine
konskyrt/Machine-learning-challenge
konskyrt/model-classification-app
konskyrt/Personal_portfolio_site
Personal Portfolio website
konskyrt/Predictive-Maintenance-Machinery
Predicting when will be the next failure of a machinery, given time-series data. Implementation on R
konskyrt/Tunnel-Conflict-Analysis