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Name: Faculty of Applied Sciences of UCU
Type: Organization
Location: Kozelnytska 2a, Lviv, Ukraine
Blog: apps.ucu.edu.ua
Name: Faculty of Applied Sciences of UCU
Type: Organization
Location: Kozelnytska 2a, Lviv, Ukraine
Blog: apps.ucu.edu.ua
Computer Vision course for CS bachelors in UCU (2019)
CNN for Classification of Coronary Artery Stenosis Score inMPR Images.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
An Inkscape extension for lens distortion of objects
Open Source Differentiable Computer Vision Library
A 3rd place solution for LID Challenge at CVPR 2020 on Weakly Supervised Semantic Segmentation
Modelica models integration with Open AI Gym
Mask Classification-based method for Polyps Segmentation and Detection (EndoCV 2022 challenge)
Open Source Graph Neural Net Based Pipeline for Image Matching
Portfolio for APPS students
Mobile robot
This repository is devoted to the development of the hardware implementation of the Robert.
Premature ventricular contraction(PVC) is among the most frequently occurring types of arrhythmias. Along with other cardiovascular diseases, it may easily cause hazardous health conditions, making PVC detection task extremely important in cardiac care. However, the long-term nature of monitoring, sophisticated morphological features, and patient variability makes the manual observation of PVC an impractical task. Existing approaches for automated PVC identification suffer from a range of disadvantages. These include domain-specific handcrafted features, usage of manually delineated R peaks locations, tested on a tiny sample of PVC beats(usually a small subset of MIT-BIH database). We address some of these drawbacks in proposed framework, which takes a raw ECG signal as an input and localizes R peaks of the PVC beats. It consists of two neural networks. The first one is an encoder-decoder architecture that localizes the R peak of both Normal and anomalous heartbeats. Provided R peaks positions, our CardioIncNet model, adopted for ECG signal data, does the delineation of healthy versus PVC bits. We have performed the extensive evaluation of our pipeline with both single- and cross-dataset paradigms on three public datasets. Our approach results in over 0.99 and 0.979 F1-measure on both single- and cross-dataset paradigms for R peaks localization task and above 0.96 and 0.85 F1 score for the PVC beats classification task.
Single-View Auto-Calibration from Lens-Distorted Images of Urban Scenes. In WACV (2021)
Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.
This repo contains links to multi-person re-identification and tracking dataset in top view multi-camera environment.
Weakly Supervised Medical Images Segmentation
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.