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jaungiers avatar

jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction

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5,206 estrellas·1,963 forks·Python·AGPL-3.0·13 vistas

LSTM Neural Network For Time Series Prediction

Este proyecto es un modelo de pronóstico de series temporales implementado en Python y Keras. Es un sistema de aprendizaje profundo diseñado para predecir valores futuros en conjuntos de datos secuenciales mediante el entrenamiento de redes neuronales de memoria a largo plazo (LSTM) en datos numéricos históricos.

La implementación se centra en el análisis de datos secuenciales, aplicando específicamente estos modelos a la predicción del mercado financiero para pronosticar movimientos y tendencias de precios.

La arquitectura cubre el preprocesamiento de datos a través del escalado de características min-max y transformaciones de ventana deslizante. Utiliza celdas de red neuronal recurrente con mecanismos de compuerta para dependencias a largo plazo y emplea retropropagación a través del tiempo para el cálculo de gradientes.

Features

  • Keras Model Implementations - Implements a time series predictor using Keras-based neural network architectures.
  • Predictive Financial Models - Applies deep learning models to financial market data for forecasting price movements and trends.
  • Sequential Data Models - Processes ordered data sequences using temporal modeling to estimate future values.
  • Time Series Forecasting - Implements a machine learning architecture designed for predicting future values in temporal sequences.
  • Deep Learning Forecasting - Applies deep neural networks specifically for univariate or multivariate time series forecasting.
  • Long Short-Term Memory Networks - Employs Long Short-Term Memory networks to capture long-term dependencies in sequential data.
  • LSTM Architectures - Builds and trains LSTM-based recurrent neural networks to recognize patterns in data streams.
  • Deep Learning Reference Implementations - Provides a Python-based implementation for training and executing deep learning models.
  • Backpropagation Through Time - Implements the backpropagation through time algorithm to calculate gradients for the recurrent network.

Historial de estrellas

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Ver las 30 alternativas a LSTM Neural Network For Time Series Prediction→

Preguntas frecuentes

¿Qué hace jaungiers/lstm-neural-network-for-time-series-prediction?

Este proyecto es un modelo de pronóstico de series temporales implementado en Python y Keras. Es un sistema de aprendizaje profundo diseñado para predecir valores futuros en conjuntos de datos secuenciales mediante el entrenamiento de redes neuronales de memoria a largo plazo (LSTM) en datos numéricos históricos.

¿Cuáles son las características principales de jaungiers/lstm-neural-network-for-time-series-prediction?

Las características principales de jaungiers/lstm-neural-network-for-time-series-prediction son: Keras Model Implementations, Predictive Financial Models, Sequential Data Models, Time Series Forecasting, Deep Learning Forecasting, Long Short-Term Memory Networks, LSTM Architectures, Deep Learning Reference Implementations.

¿Qué alternativas de código abierto existen para jaungiers/lstm-neural-network-for-time-series-prediction?

Las alternativas de código abierto para jaungiers/lstm-neural-network-for-time-series-prediction incluyen: jdb78/pytorch-forecasting — This is a deep learning framework for predicting future values in sequential data using PyTorch architectures. It… hunkim/deeplearningzerotoall — DeepLearningZeroToAll is a comprehensive educational resource and implementation collection focused on deep learning… thuml/time-series-library — This PyTorch-based deep learning library provides a framework for analyzing and forecasting temporal data. It… awslabs/gluonts — GluonTS is a probabilistic time series library and deep learning forecasting framework. It provides a toolkit for… huseinzol05/stock-prediction-models — This project is a suite of machine learning and statistical tools designed for stock price prediction, financial time… sktime/pytorch-forecasting — PyTorch Forecasting is a deep learning framework designed for building and training neural network architectures…