TensorFlow

Project evaluates PyTorch and TensorFlow matrix multiplication performance on macOS.

This project focuses on building a Lyric Classification Model using LSTM (Long Short-Term Memory) and CNN (Convolutional Neural Networks). The models' purpose is to identify which artist a given lyric belongs to. Users can input lyrics and the models will predict the associated artist, aligning with the course's focus on the practical implementation of Natural Language Processing (NLP) tasks.

The project focuses on developing a predictive tool for chess using recurrent neural network (RNN) models implemented in TensorFlow. Data collection was carried out using web scraping techniques from the website https://www.chess-poster.com.

El proyecto se orienta hacia el desarrollo de una herramienta predictiva para el ajedrez, empleando modelos de red neuronal recurrente (RNN) implementados en TensorFlow. La recopilación de datos se realizó mediante técnicas de web scraping desde la página https://www.chess-poster.com.

An example Python project for simulating federated learning using federated averaging.

This project aims to leverage the Ames Housing Price Dataset to develop an accurate predictive model for estimating residential property sale prices in Ames, Iowa. By analyzing various property features and their relationships to sale prices, the project seeks to uncover insights that can inform both buyers and sellers in the housing market.

A Python library for Secure and Explainable Machine Learning

Documentation available @ https://secml.gitlab.io

Follow us on Twitter @ https://twitter.com/secml_py

MediScanAI is a computer vision healthcare API project applying AI for medical insights. It classifies brain tumor types based on tomography images.

Introduction to classification using machine learning and deep learning (PyTorch, TensorFlow, Keras)

Graduate Tools and Models - Data Science.

Rice University, Spring 2024.

This project provides a deep learning approach to learn machining features from CAD models using a hierarchical graph convolutional neural network.

ICT deep learning lab

This Car Prediction Project aims to predict v price, using Regression models. The project contains a collection of data files, model files, and Python scripts necessary for training and deploying car prediction Price models. This project encompasses a comprehensive set of data files, serialized models, and Python scripts necessary for training, evaluating, and deploying car price prediction models.

An attempt at AI-based lemmatization (or something close to lemmatization) of Old English

Transform text into lifelike speech with advanced neural network models

Prediction of age from X-Ray images of hand bones using deep learning models. We used 3 models: Shallow, ResNet50, and InceptionV4. The best result achieved was with a mean absolute error of 10 months using InceptionV4. The preprocessing of data included computer vision techniques like CLAHE filter and reducing channels, and also creativities such as using the Google MediaPipe library to detect hands and crop on them.

Рабочий сервис генерации продолжения текста песни по короткой фразе на основе текстов песен группы Metallica

Tensorflow implementation of the neural style transfer method by Gatys et al. including linear color histogram matching.

This project was developed to understand how Tensorflow works using Python 🐍

Construction d'une IA de reconnaissance et de classification de documents d'identité, d'adresse et de revenu, ainsi qu'une API avec Flask