Repository containing the colab-notebooks of the course i did on deep learning from One-Fourth-Labs
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Updated
Sep 6, 2022 - Jupyter Notebook
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)
A machine learning trigger bot for Quake3 Arena & Quake Live.
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.
Simulating the dynamical behavior of an Eddy current brake using neural networks
Attempts to take an image of a face and convert it to a 3D head.
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.
A quick implementation of Fast Feed Neural Network that support reading JSON input and visualize the network in an image
Multi-layer feed-forward neural networks and auto-encoder network for MNIST dataset implemented from scratch
Deep learning projects
In this project i worked on a neural network api from scratch to help me build reprojects that requires machine learning in neural network.
Python implementation of a simple MLP without using external packages
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