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#

ltsm

Here are 29 public repositories matching this topic...

Service Classification based on Service Description

  • UpdatedOct 17, 2021
  • Jupyter Notebook

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

  • UpdatedAug 3, 2021
  • Jupyter Notebook

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.

  • UpdatedFeb 25, 2021
  • Jupyter Notebook
gennhausser

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.

  • UpdatedOct 20, 2024
  • Python

Using Deep Learning to Categorize Music through Spectrogram Analysis

  • UpdatedDec 26, 2017
  • Python

🚀 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. 💹📈

  • UpdatedNov 24, 2023
  • Jupyter Notebook

A computer vision model for Indian Sign Language Recognition

  • UpdatedOct 25, 2024
  • Jupyter Notebook

Minimal Docker container for TesseractOCR

  • UpdatedApr 13, 2018
  • Shell
  • UpdatedJul 10, 2017
  • Python

Create Music with Machine Learning!

  • UpdatedJul 12, 2022
  • JavaScript

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

  • UpdatedFeb 18, 2025
  • Jupyter Notebook

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

  • UpdatedNov 23, 2021
  • Python

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.

  • UpdatedJul 15, 2021
  • Jupyter Notebook

Repo for the Deep Learning Specialization offered by Coursera

  • UpdatedJan 1, 2018
  • Jupyter Notebook

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.

  • UpdatedMay 31, 2023
  • Jupyter Notebook

Data transform utility for time series

  • UpdatedNov 3, 2021
  • Python

deep learning: prediction de sentiment associé à un tweet

  • UpdatedJan 19, 2023
  • Jupyter Notebook

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