Alternatives and similar repositories for Time-Series-Prediction-with-LSTM-Recurrent-Neural-Networks-in-Python-with-Keras:

Users that are interested in Time-Series-Prediction-with-LSTM-Recurrent-Neural-Networks-in-Python-with-Keras are comparing it to the libraries listed below

• gcarq / keras-timeseries-prediction
  Time series prediction with Sequential Model and LSTM units
  ☆118Updated 8 years ago
• YitongCU / Duel-staged-Attention-for-NYC-Weather-prediction
  Dual Staged Attention Model for Time Series prediction
  ☆67Updated 7 years ago
• epishova / Neural-Networks-for-time-series-analysis
  Compare how ANNs, RNNs, LSTMs, and LSTMs with attention perform on time-series analysis
  ☆42Updated 6 years ago
• carloschavez9 / ensemble-time-series
  Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) laye…
  ☆35Updated 7 years ago
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 6 years ago
• Regressionist / Stock-prediction-Dual-Attention-based-RNN-
  Financial time series forecast using dual attention RNN
  ☆27Updated 6 years ago
• Yifeng-He / Deep-Learning-Time-Series-Prediction-using-LSTM-Recurrent-Neural-Networks
  This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.
  ☆99Updated 4 years ago
• opringle / multivariate_time_series_forecasting
  A place to implement state of the art deep learning methods for temporal modelling using python and MXNet.
  ☆65Updated 5 years ago
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆60Updated 2 years ago
• lucasjinreal / LSTM_learn
  a implement of LSTM using Keras for time series prediction regression problem
  ☆221Updated 8 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• mridulnagpal / ensembeTimeSeries
  Ensemble of ARIMA, prophet and LSTMS RNN
  ☆35Updated 7 years ago
• aaxwaz / Multivariate-Time-Series-forecast-using-seq2seq-in-TensorFlow
  ☆151Updated 7 years ago
• rakshita95 / DeepLearning-time-series
  LSTM for time series forecasting
  ☆28Updated 7 years ago
• uchihashikenshi / attention_time
  Python implementation of a time-series model with (optional) attention where the encoder is CNN, decoder is LSTM, and more.
  ☆22Updated 8 years ago
• dhingratul / Stock-Price-Prediction
  Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data f…
  ☆142Updated 7 years ago
• sunfanyunn / DARNN
  A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆112Updated 8 months ago
• LouisFoucard / MC_DCNN
  Multi channel deep convolutional neural network for time series classification
  ☆54Updated 8 years ago
• wolfws / keras-tensorflow-financial-time-series-signal-forecast
  Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM
  ☆47Updated 8 years ago
• stepulak / time-series-forecasting
  Python scripts for time series forecasting using ARIMA and LSTM recurrent neural networks
  ☆11Updated 4 years ago
• Kanav123 / ArimaAnnHybrid
  Comparisons of ARIMA , ANN and a Hybrid model for Timeseries forecasting
  ☆53Updated 7 years ago
• abdullahf / lstm-kalman-hybrid-timeseries
  Hybrid Time Series using LSTM and Kalman Filtering
  ☆41Updated last year
• KurochkinAlexey / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction
  Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.0…
  ☆64Updated 5 years ago
• RobRomijnders / LSTM_tsc
  An LSTM for time-series classification
  ☆411Updated 7 years ago
• cauchyturing / Imaging-time-series-to-improve-classification-and-imputation
  Python 3.6+ (only)
  ☆112Updated 6 years ago
• matthewswogger / Surge-Forecast-with-RNN
  Multivariate Time-Series Analysis using Recurrent Neural Net with Long Short Term Memory for forecasting surge pricing 5 min into the fut…
  ☆44Updated 8 years ago
• rtavenar / keras_shapelets
  Efficient implementation of Learning Time-Series Shapelets using keras
  ☆25Updated 7 years ago
• zhangxu0307 / time-series-forecasting-keras
  time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.
  ☆117Updated 5 years ago
• maxsxu / MTSAnomalyDetection
  Multidimensional Time Series Anomaly Detection
  ☆27Updated 7 years ago
• liyinwei / copper_price_forecast
  copper price(time series) prediction using bpnn and lstm
  ☆106Updated 6 years ago