Slides, exercises, and exams for my course "Natural Language Processing" (École Pour l'Informatique et les Techniques Avancées, 2024)
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Updated
May 30, 2024 - Jupyter Notebook
Slides, exercises, and exams for my course "Natural Language Processing" (École Pour l'Informatique et les Techniques Avancées, 2024)
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.
A machine learning trigger bot for Quake3 Arena & Quake Live.
Attempts to take an image of a face and convert it to a 3D head.
A quick implementation of Fast Feed Neural Network that support reading JSON input and visualize the network in an image
Sentiment classification: From ML to DL to very DL models
Theory and practice of neural networks, deep learning and fuzzy logic. Excercises based on the course ECE447 of University of Thessaly.
Training Feedforward Neural Networks with Bayesian Hyper-Heuristics
Models of Mouse Vision: Self-supervised pre-trained networks and training code (PyTorch)
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
Repository containing the colab-notebooks of the course i did on deep learning from One-Fourth-Labs
a minimalistic feedforward neural network library in Rust
Node Classification with Graph Neural Networks
In this project i worked on a neural network api from scratch to help me build reprojects that requires machine learning in neural network.
Multi-layer feed-forward neural networks and auto-encoder network for MNIST dataset implemented from scratch
Example of how to use MATLAB Deep Network Designer to build deep learning solutions to two different problems: diabetes prediction and medical image classification.
Deep learning projects
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