Repository contains my Jupyter Notebook files (ran either in VSCode using the Jupyter Notebook extension, either Notebook or Lab through Anaconda, or Google Colab) for a Multilayer Perceptron (MLP) capable of predicting wine scores and classifying quality, for EEL6812 - Advanced Topics in Neural Networks (Deep Learning with Python) course, PRJ01

This project aims to classify blood cell images from the BloodMNIST dataset using various machine learning models. Implemented classifiers include Logistic Regression, Fully Connected Neural Networks, Convolutional Neural Networks, and MobileNet. The dataset is pre-processed, and models are trained and evaluated to determine their effectiveness.

This project demonstrates a complete pipeline for weather prediction using a Fully Connected Neural Network (FCNN). The project is implemented in Python using Jupyter Notebook, and it covers data loading, preprocessing, model training, and performance evaluation.

This project demonstrates a complete pipeline for recognizing handwritten digits using the MNIST dataset. The project is implemented in Python using Jupyter Notebook, and it covers data loading, preprocessing, model training, and performance evaluation of a Fully Connected Neural Network (FCNN).

Demo of a first deep learning neural network model in Python, based on the tutorial by Adrian Tam

KAN

Content: Structure of CNN, Convolutional layer, Pooling layer, Fully connected layer, Dense layer, output, Image classification, Creating, compiling and training the model on epochs, testing the model on gradio

Nebula: Lightweight Neural Network Benchmarks

image classification task where we use different deep learning models from scratch like vgg16,cnn,tramsformers, and using the initial weights to try getting the best accuracy on kaggle competition

In this repository, a very informative and comprehensive implementation of MLP-Mixer is provided for educational purposes using PyTorch.

This project was my final Bachelor's degree thesis. In it I decided to mix my passion, music, and the syllabus that I liked the most in my degree, deep learning.

using Fully Connected Network to forecast gold price in January 2024.

An implementation for an FCNN from scratch, for educational purposes

Repository for my thesis on "A Comparison of Reduced-Order Models for Wing Buffet Predictions"

Model Optimization

Developing neural networks with a framework, implementing neural networks advanced concepts

OneAPI is an open, unified, and standards-based programming model and set of libraries developed by Intel in collaboration with industry partners.

we aim to provide a framework for understanding the linguistic and cultural diversity of the Arabic-speaking world and to help scholars and researchers analyze and compare these dialects. So we developed a model that takes a text as an input and gives you the name of the dialect as an output.

有空就写点，没空就空着。