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

Using Deep Learning to Categorize Music through Spectrogram Analysis

Create Music with Machine Learning!

Minimal Docker container for TesseractOCR

A computer vision model for Indian Sign Language Recognition

🚀 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. 💹📈

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

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.

Repo for the Deep Learning Specialization offered by Coursera

The goal of the project is to predict chickenpox cases one year ahead based on known history. Methods used: ETS decomposition and SARIMA with statsmodels, LSTM with Keras, MINMAX scaling.

Data transform utility for time series

deep learning: prediction de sentiment associé à un tweet

Сентиментальный анализ рынка акции

Dicoding Submission : Machine Learning Terapan