Repository containing the colab-notebooks of the course i did on deep learning from One-Fourth-Labs

Slides, exercises, and exams for my course "Natural Language Processing" (École Pour l'Informatique et les Techniques Avancées, 2024 and 2025)

A series of machine learning trigger bots for Counter-Strike: Global Offensive (CS:GO).

Animation Tweening of 3D vertex data using a Feed-Forward Neural Network.

f1 race winner predictor

Models of Mouse Vision: Self-supervised pre-trained networks and training code (PyTorch)

Node Classification with Graph Neural Networks

Training Feedforward Neural Networks with Bayesian Hyper-Heuristics

Example of how to use MATLAB Deep Network Designer to build deep learning solutions to two different problems: diabetes prediction and medical image classification.

A machine learning trigger bot for Quake3 Arena & Quake Live.

Simulating the dynamical behavior of an Eddy current brake using neural networks

This is a application that though a feed forward neural network allows a car to learn to drive

Attempts to take an image of a face and convert it to a 3D head.

Tensorflow Human Behavior Prediction Engine

Theory and practice of neural networks, deep learning and fuzzy logic. Excercises based on the course ECE447 of University of Thessaly.

Gran-Prix is a high-performance, modular, and type-safe neural network framework built from the ground up in Rust. It evolves from simple conceptual models into a robust engine for building and training multi-layer perceptrons and beyond

Sentiment classification: From ML to DL to very DL models

A custom neural network built entirely from scratch using NumPy. Engineered with fully tested backpropagation, early stopping, and reproducible training architecture.

Multi-layer feed-forward neural networks and auto-encoder network for MNIST dataset implemented from scratch

Deep learning projects