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
Node Classification with Graph Neural Networks
Deep learning projects
A series of machine learning trigger bots for Counter-Strike: Global Offensive (CS:GO).
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 quick implementation of Fast Feed Neural Network that support reading JSON input and visualize the network in an image
This is a application that though a feed forward neural network allows a car to learn to drive
Multi-layer feed-forward neural networks and auto-encoder network for MNIST dataset implemented from scratch
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.
Animation Tweening of 3D vertex data using a Feed-Forward Neural Network.
Models of Mouse Vision: Self-supervised pre-trained networks and training code (PyTorch)
In this project i worked on a neural network api from scratch to help me build reprojects that requires machine learning in neural network.
Simulating the dynamical behavior of an Eddy current brake using neural networks
Python implementation of a simple MLP without using external packages
A machine learning trigger bot for Quake3 Arena & Quake Live.
Slides, exercises, and exams for my course "Natural Language Processing" (École Pour l'Informatique et les Techniques Avancées, 2024)
a minimalistic feedforward neural network library in Rust
Training Feedforward Neural Networks with Bayesian Hyper-Heuristics
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