Alternatives and similar repositories for LSTM-Neural-Network-for-Time-Series-Prediction

Users that are interested in LSTM-Neural-Network-for-Time-Series-Prediction are comparing it to the libraries listed below

• hichenway / stock_predict_with_LSTM
  Predict stock with LSTM supporting pytorch, keras and tensorflow
  ☆840Updated 2 years ago
• lilianweng / stock-rnn
  Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
  ☆1,953Updated 3 years ago
• nicodjimenez / lstm
  Minimal, clean example of lstm neural network training in python, for learning purposes.
  ☆1,873Updated 4 years ago
• omerbsezer / LSTM_RNN_Tutorials_with_Demo
  LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysi…
  ☆843Updated last year
• tgjeon / TensorFlow-Tutorials-for-Time-Series
  TensorFlow Tutorial for Time Series Prediction
  ☆1,104Updated 8 years ago
• guillaume-chevalier / seq2seq-signal-prediction
  Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
  ☆1,085Updated 2 years ago
• Alro10 / deep-learning-time-series
  List of papers, code and experiments using deep learning for time series forecasting
  ☆2,755Updated last year
• BenjiKCF / Neural-Net-with-Financial-Time-Series-Data
  This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
  ☆760Updated 5 years ago
• scorpionhiccup / StockPricePrediction
  Stock Price Prediction using Machine Learning Techniques
  ☆1,497Updated 2 years ago
• dzitkowskik / StockPredictionRNN
  High Frequency Trading Price Prediction using LSTM Recursive Neural Networks
  ☆796Updated 9 years ago
• Jenniferz28 / Time-Series-ARIMA-XGBOOST-RNN
  Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
  ☆750Updated 6 years ago
• NourozR / Stock-Price-Prediction-LSTM
  OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
  ☆613Updated 2 years ago
• WayneDW / Sentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction
  Use NLP to predict stock price movement associated with news
  ☆861Updated last year
• umbertogriffo / Predictive-Maintenance-using-LSTM
  Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
  ☆706Updated last year
• huseinzol05 / Stock-Prediction-Models
  Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
  ☆9,073Updated 2 years ago
• llSourcell / How-to-Predict-Stock-Prices-Easily-Demo
  How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
  ☆773Updated 3 years ago
• VivekPa / AIAlpha
  Use unsupervised and supervised learning to predict stocks
  ☆1,879Updated 5 years ago
• Arturus / kaggle-web-traffic
  1st place solution
  ☆1,846Updated 3 years ago
• shunyaoshih / TPA-LSTM
  Temporal Pattern Attention for Multivariate Time Series Forecasting
  ☆734Updated 7 years ago
• hzy46 / TensorFlow-Time-Series-Examples
  Time Series Prediction with tf.contrib.timeseries
  ☆476Updated 7 years ago
• imhgchoi / ARIMA-LSTM-hybrid-corrcoef-predict
  Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
  ☆427Updated 7 years ago
• LongxingTan / Time-series-prediction
  tfts: Time Series Deep Learning Models in TensorFlow
  ☆877Updated 2 weeks ago
• zhangxu0307 / time_series_forecasting_pytorch
  time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code
  ☆416Updated 6 years ago
• lucasjinreal / LSTM_learn
  a implement of LSTM using Keras for time series prediction regression problem
  ☆225Updated 9 years ago
• Ceruleanacg / Personae
  📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
  ☆1,396Updated 7 years ago
• achillesrasquinha / bulbea
  Deep Learning based Python Library for Stock Market Prediction and Modelling
  ☆2,223Updated 4 years ago
• Rachnog / Deep-Trading
  Algorithmic trading with deep learning experiments
  ☆1,453Updated 7 years ago
• tencia / stocks_rnn
  Stock price prediction with LSTMs in TensorFlow
  ☆445Updated 9 years ago
• yangwohenmai / LSTM
  基于LSTM的时间序列预测研究
  ☆3,518Updated 3 years ago
• JEddy92 / TimeSeries_Seq2Seq
  This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series for…
  ☆612Updated 6 years ago