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I'm a software engineering student in Epita Paris, Specialized in Machine Learning and data science / engineering. I'm also part of the LRDE (Laboratoire de Recherche et Developemment de l'Epita.) where I focus on brain tumor segmentation using deep neural networks.

  • 🌱 currently learning MLOps and data engineering in depth.

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Nathan Habib's Projects

big-bench icon big-bench

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

brats icon brats

PyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)

delta icon delta

Analyse de donnΓ©es ouvertes

fpinscala icon fpinscala

Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"

go_neuralnet icon go_neuralnet

NN meant to be used on the MNIST dataset, written in go.

malloc icon malloc

Implementation of the malloc C function.

markdown-cv icon markdown-cv

a simple template to write your CV in a readable markdown file and use CSS to publish/print it.

pytorch-unet icon pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

sdr-dsp-python icon sdr-dsp-python

Python Implem of digital signal processing and software defined radio

systole icon systole

A python toolbox for preprocessing, analyzing, and synchronizing cardiac data.

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