Service Classification based on Service Description

Specialized LLM / LSTM models

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.

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.

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

Minimal Docker container for TesseractOCR

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.

Data transform utility for time series

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.

Create Music with Machine Learning!

deep learning: prediction de sentiment associé à un tweet

Using Deep Learning to Categorize Music through Spectrogram Analysis

🚀 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. 💹📈

Сентиментальный анализ рынка акции

A computer vision model for Indian Sign Language Recognition

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

📈 Experimenting with possible closing price predicition using automated systems

Dicoding Submission : Machine Learning Terapan