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

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

Node Classification with Graph Neural Networks

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

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

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

Training Feedforward Neural Networks with Bayesian Hyper-Heuristics

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

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.

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

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

Sentiment classification: From ML to DL to very DL models

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

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

Deep learning projects

A quick implementation of Fast Feed Neural Network that support reading JSON input and visualize the network in an image

Python implementation of a simple MLP without using external packages

In this project i worked on a neural network api from scratch to help me build reprojects that requires machine learning in neural network.

a minimalistic feedforward neural network library in Rust