Service Classification based on Service Description

Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python

This project aims to study the Image Colorization problem and implement a Convolutional Neural Network that is able to colorize black and white images using CIELAB color space.

Music generation using a Long Short-Term Memory (LSTM) neural network. The gennhausser project uses TensorFlow and music21 libraries to create a synthetic dataset, train an LSTM model, and generate music sequences.

Specialized LSTM & AI models

🚀 Unveiling Stock Market Insights with RNNs: A concise exploration of LSTM and GRU models for stock price prediction, featuring a research paper and Jupyter Notebook. 💹📈

Using Deep Learning to Categorize Music through Spectrogram Analysis

A computer vision model for Indian Sign Language Recognition

This repository contains a project aimed at predicting Tesla's stock prices using Long Short-Term Memory (LSTM) networks.

Minimal Docker container for TesseractOCR

The goal of this project is to accurately predict the future closing value of a given stock across a given period of time in the future.

LSTM and all other supporting modules are used to predict the next word based on the previous five words.

Create Music with Machine Learning!

Repo for the Deep Learning Specialization offered by Coursera

Data transform utility for time series

deep learning: prediction de sentiment associé à un tweet

Time series forecasting project to to predict daily PM2.5 pollutant concentration levels in Tlaquepaque, Jalisco using LSTM.

Autoencoders for vision and NLP tasks. Vision autoencoders use fully connected and convolutional architectures with layer-inverse constraints. NLP autoencoder employs LSTM-based sequence-to-sequence model for text denoising.