Pinned Repositories
death_warehouse
VitaInspect is a Django web application designed to facilitate the updating of patient death records for Hôpital Foch. The system fetches data from INSEE to provide a reliable source of information for medical professionals and researchers.
ETIS-Image
Algorithm for stroke occlusion detection. Work in progress. In the context of France 2030 project on stroke research (BOOSTER).
OCR_EFR
QuickScanEFR provides a dedicated pipeline for extracting textual content from PFT (Pulmonary Function Testing) scan reports saved in PDF format at Foch Hospital database.
chatbot-mental-health
Toy project - Mental Health support ChatBot
datamuse
Docker webapp on django - Parisian Culture - Datamuse
ML-DL-time-series
NLI-SNLI
Application of Transformers for NLI task with SNLI dataset
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.
RaidiumxENSChallenge
CT-scan segmentation - Few Shot Learning
webscrap_health_monitoring
WHOCC ATC-DDD Index WebScraping
sarrabenyahia's Repositories
sarrabenyahia/webscrap_health_monitoring
WHOCC ATC-DDD Index WebScraping
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.
sarrabenyahia/chatbot-mental-health
Toy project - Mental Health support ChatBot
sarrabenyahia/datamuse
Docker webapp on django - Parisian Culture - Datamuse
sarrabenyahia/NLI-SNLI
Application of Transformers for NLI task with SNLI dataset
sarrabenyahia/ML-DL-time-series
sarrabenyahia/advanced-machine-learning
sarrabenyahia/dl-lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
sarrabenyahia/RaidiumxENSChallenge
CT-scan segmentation - Few Shot Learning
sarrabenyahia/3DUnetCNN
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
sarrabenyahia/Acute-stroke_Detection_Segmentation
sarrabenyahia/airflow-docker
Source code of the Apache Airflow Tutorial for Beginners on YouTube Channel Coder2j (https://www.youtube.com/c/coder2j)
sarrabenyahia/instruct-ner
Instruct LLMs for flat and nested NER. Fine-tuning Llama and Mistral models for instruction named entity recognition. (Instruction NER)
sarrabenyahia/local-rag-example
Build your own ChatPDF and run them locally
sarrabenyahia/MedSAM
The official repository for MedSAM: Segment Anything in Medical Images.
sarrabenyahia/outlines
Structured Text Generation
sarrabenyahia/sarrabenyahia
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.