sarrabenyahia

Predict-schizophrenia

Predict schizophrenia from brain grey matter (GM). schizophrenia is associated with diffuse and complex pattern of brain atrophy. We will try to learn a predictor of the clinical status (patient with schizophrenia vs. healthy control) using GM measurements on the brain participants.

webscrap_health_monitoring

WHOCC ATC-DDD Index WebScraping

chatbot-mental-health

Toy project - Mental Health support ChatBot

datamuse

Docker webapp on django - Parisian Culture - Datamuse

NLI-SNLI

Application of Transformers for NLI task with SNLI dataset

ML-DL-time-series

advanced-machine-learning

dl-lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

RaidiumxENSChallenge

CT-scan segmentation - Few Shot Learning

3DUnetCNN

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

Acute-stroke_Detection_Segmentation

airflow-docker

Source code of the Apache Airflow Tutorial for Beginners on YouTube Channel Coder2j (https://www.youtube.com/c/coder2j)

instruct-ner

Instruct LLMs for flat and nested NER. Fine-tuning Llama and Mistral models for instruction named entity recognition. (Instruction NER)

local-rag-example

Build your own ChatPDF and run them locally

MedSAM

The official repository for MedSAM: Segment Anything in Medical Images.

sarrabenyahia

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.