CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

LAVIS - A One-stop Library for Language-Vision Intelligence

We are building an open database of COVID-19 cases with chest X-ray or CT images.

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, …

Restoring and attributing ancient texts using deep neural networks

ECG Arrhythmia classification using CNN

Oxford Deep NLP 2017 course - Practical 1: word2vec

A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. Deep Learning models for wildfire modeling, e.g. danger forecasting, burned area prediction, etc

This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy.

Real Time Electrocardiogram Annotation with a Long Short Term Memory Neural Network

Using LSTMs to classify ECG signals in several different heart diseases. Data from the PTB diagnostic database.

Deep Learning for the Detection and Characterization of the Carotid Artery in Ultrasound Imaging

Repository για τα μαθήματα του χειμερινού εξαμήνου του ΕΔΕΜΜ

Geospatial Big Data Analysis

Segmentation model for detecting and plotting carotid artery cross sectional area in ultrasound images

A small assignment for the NTUA course "Introduction to biomedical technology".

Semester project in Neuro-Fuzzy Computing (ECE447)

Pathway enrichment analyses for Howe Lab carotid plaque EV load project