polejowska Goto Github PK

agatapolejowska

ai-cf

Artificial Intelligence - Computational Foundations notes.

controlss

dash-sample-apps

Open-source demos hosted on Dash Gallery

ddtnet

MIA-DDTNet: A Dense Dual-Task Network for Tumor-infiltrating Lymphocyte Detection and Segmentation in Histopathological Images of Breast Cancer

drg-mc-icbm

eeg-denoise-base-app

eeg-denoising

elmedilab

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.

fd-webapp

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.

fidbs

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.

gpu-cpu

gsnim

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.

healthissuespredictions

histolab

Library for Digital Pathology Image Processing

histomicsui

A Girder plugin for pathology image annotations and analysis.

lcbsi

Leukocytes (WBCs) subtypes classification from blood smear images using Vision Transformers from Hugging Face and DenseNet artificial neural network from MONAI.

mappshow

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.

mappshow-ml-xai

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.

mdta

medimatch

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.

ml-lr-mlp-fashion-mnist

The implementation of basic machine learning algorithms like logistic regression and multilayer perceptron to predict several classes from Fashion MNIST dataset

movjum

MovJum - move and jump, the interactive game with a designed graphical user interface.

nct-crc-he-xai

neuralnetworks

pmperformancetester

polejowska.github.io

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

segment-anything

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.

sokobangame