Imad Toubal's Projects
Personal website
pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.
Infinit Pacman with JavaScript. Using multiple path-finding algorithms: A*, Greedy Best First Search, and Hill Climbing Search
Syntax color theme for Intellij inspired by Sublime Text's Monokai Theme
🕹 Interactive K-Means with Qt and OpenGL, written in C++.
The state-of-art PyTorch implementation of the method described in the paper "LipNet: End-to-End Sentence-level Lipreading" (https://arxiv.org/abs/1611.01599)
Maximum Entropy Thresholding Implementation in Python (OpenCV)
An implementation of: Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures by Kozinsky M. et. al. https://arxiv.org/abs/1811.10508
practice with neural networks
This project aims to implement a generative model to learn the speech style of Mr. Donald Trump based on a dataset of his speeches; and then, automatically generate an unlimited amount of new speeches in the vein of Trump´s previous speeches.
An open-source repository that provides the code for the research conducted at the NSF University of Missouri REU Summer 2020
Music Player for Windows Phone
Neural network from scratch with MATLAB
Parkinson’s Disease Classification from Speech Data using multiple Machine Learning approaches. This was implemented using scikit-learn Python package.
Detect Parkinsons using XGBoost and NN's (as seen on Medium!)
My final year project
This theme was created for a workshop on a web design course by Google Community Boumerdes, I have tutored and supervised the session of 14 students with two other tutors and a supervisor. In this repository you will find the PSD file of that page layout, the images and assets, and the final html and css page.
A simple python application for docs
🐍+🔥This project is aimed to help Pytorch machine learning developers to quickly build a Flask web app in a Docker container ready to be deployed.
PyTorch implementation of UNet++ (Nested U-Net).
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Minimal PyTorch implementation of YOLOv3
A simple MNIST Generative Adversarial Network implementation in PyTorch.