polejowska Goto Github PK
Name: Agata Polejowska
Type: User
Name: Agata Polejowska
Type: User
Artificial Intelligence - Computational Foundations notes.
Open-source demos hosted on Dash Gallery
MIA-DDTNet: A Dense Dual-Task Network for Tumor-infiltrating Lymphocyte Detection and Segmentation in Histopathological Images of Breast Cancer
Medical image labeling software for machine learning. The project consists of a fully-featured web application which main purpose is to allow proper users to label medical images. The application gathers created annotations in order to use them for developing machine learning algorithms that require qualitative and meaningful data.
Face detection web application. This application allows multiple users simultaneously to upload images for face detection performed by MTCNN model. The system outputs the predicted faces by sending JSON message from the server to the client with bounding boxes coordinates. Operations are asynchronous without the need to reload the webpage.
Face ID biometric system - the application for generating a biometric vector based on the input face image. The system consists of registration, verification and identification module.
The purpose of the Society readiness for innovative technologies in medicine - Survey is to estimate how much society is prepared for an innovative technologies implementation in their life.
Library for Digital Pathology Image Processing
A Girder plugin for pathology image annotations and analysis.
Leukocytes (WBCs) subtypes classification from blood smear images using Vision Transformers from Hugging Face and DenseNet artificial neural network from MONAI.
React, FastAPI app that, using a form and a machine learning model, can predict whether a patient will show up for a medical appointment or not.
The aim of this project is to experiment with various machine learning models that predict whether or not a patient will show up for a scheduled appointment. The project includes data processing and analysis. Also explainable AI methods are incorporated.
MediMatch - a mobile game. The purpose of the MediMatch game is to help people associate medication names with their usages. The game serves as an entertaining and teaching tool.
The implementation of basic machine learning algorithms like logistic regression and multilayer perceptron to predict several classes from Fashion MNIST dataset
MovJum - move and jump, the interactive game with a designed graphical user interface.
Scenic: A Jax Library for Computer Vision Research and Beyond
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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.