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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.
Using Deep Learning to Categorize Music through Spectrogram Analysis
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
LSTM and all other supporting modules are used to predict the next word based on the previous five words.
Minimal Docker container for TesseractOCR
Create Music with Machine Learning!
Contains ML projects
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.
Dicoding Submission : Machine Learning Terapan
A Music Generating Neural Network using MIDI files and an LSTM neural network implemented with Keras
🚀 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. 💹📈
Different methods for univariate and multivariate time series forecasting using sklearn and keras.