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

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

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.

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

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

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

Deep learning projects

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

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

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

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

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.