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
🚀 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. 💹📈
A computer vision model for Indian Sign Language Recognition
Repo for the Deep Learning Specialization offered by Coursera
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!
This repository contains a project aimed at predicting Tesla's stock prices using Long Short-Term Memory (LSTM) networks.
Machine learning pipeline for training ARIMA and LSTM models to forecast daily market prices of food products in Ethiopia. Powers the Bazarya price alert system.
🌾 Bazarya is a lightweight Flask-based web app that uses time-series forecasting to predict daily market prices of essential goods in Ethiopia. Built for low-resource environments to empower farmers, traders, and households with data-driven insights.
Many-to-one LSTM neural network for binary sentiment classification of IMDB movie reviews. Built with TensorFlow/Keras as part of Deep Learning coursework. Includes data preprocessing, model training, evaluation, and visualization.
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