imane h_e's Projects
Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neural Architecture Search.
This repository contains the code for training UNet, UNet++ and SwinUNet models on analog using AIHWKIT
arduino files for use both by the compiler and the main symfony project
In this reposiroty we put our code for our arduino temperature and humidity detector for DEVFEST 22 Algiers
Awesome Neural Architecture Search Papers
Content for the GDG Algiers AI Bootcamp
This repository contains the official code of DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation
This is a simple genetic algorithm inspired from John Fish's video and repository with slight changes
Vector representations of gene co-expression in single cell RNAseq.
Our solutions at HAICK competition hosted by SOAI on Kaggle
This repository features practical labs for image processing and my answers for the course IMN
Imane's blog
Read me file for my profile
This is a library management project in C,it uses many optimising ways of storing and loading data from files in order to delete,ad or search for authors and books,it was realised with Ayoub Khenfouf (lbinome)
Simple command interpreter of a fictive programming language whose syntax is close to Camllight,it is also a math expression solver with functions and variables
Repository containing monthly challenges in the field of quantum computing.
On this repository a simple documentation for our mqtt iot project at Sirius NET
nnunet code
Detecting Sitting Posture via webcam and Improving habits with Python
In this repository, you'll find some notebooks for different models on NASA Turbofan Jet Engine Data Set, following tutorials on kaggle and amazon
PROCESS is a tool for visual simulation of processes scheduling algorithms by the OS
Analog Medical Imaging NAS based on [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware paper
A lightweight and flexible framework for Hebbian learning in PyTorch.
This is a simple example of an xgboost model's explanation using SHAP,shapely additive explanations
Team 6 NYUAD Hackathon for Social Good 2024
In this repository you'll find some test notebooks on stable diffusion models for video generation, read more on https://huggingface.co/CompVis/stable-diffusion-v1-4
This project is a comparison between Trajan's algorithm and Kosaraju's in a graph to determine strongly connected components