Alternatives and similar repositories for keras-timeseries-prediction

Users that are interested in keras-timeseries-prediction are comparing it to the libraries listed below

• 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…
  ☆146Updated 7 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
• jaungiers / Multidimensional-LSTM-BitCoin-Time-Series
  Using multidimensional LSTM neural networks to create a forecast for Bitcoin price
  ☆342Updated 7 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.
  ☆100Updated 4 years ago
• rishikksh20 / LSTM-Time-Series-Analysis
  Using LSTM network for time series forecasting
  ☆44Updated 7 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• Kanav123 / ArimaAnnHybrid
  Comparisons of ARIMA , ANN and a Hybrid model for Timeseries forecasting
  ☆53Updated 8 years ago
• liyinwei / copper_price_forecast
  copper price(time series) prediction using bpnn and lstm
  ☆106Updated 6 years ago
• etai83 / lstm_stock_prediction
  This is an LSTM stock prediction using Tensorflow with Keras on top.
  ☆230Updated 7 years ago
• ashwinbhola / Stock-prediction-Dual-Attention-based-RNN-
  Financial time series forecast using dual attention RNN
  ☆27Updated 6 years ago
• aaxwaz / Multivariate-Time-Series-forecast-using-seq2seq-in-TensorFlow
  ☆151Updated 7 years ago
• Geo-Joy / Deep-Learning-for-Time-Series-Forecasting
  This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete an…
  ☆142Updated 6 years ago
• yifan-guo-cwru / Time-Series-Prediction-with-LSTM-Recurrent-Neural-Networks-in-Python-with-Keras
  RNN LSTM Time Series
  ☆44Updated 8 years ago
• maxim5 / time-series-machine-learning
  Machine learning models for time series analysis
  ☆377Updated 3 years ago
• mohabmes / StockNN
  Stock Market Prediction Using Neural Network Models (Backpropagation, RNN, RBF) Keras with Tensorflow backend
  ☆48Updated 6 years ago
• shoumo95 / Stock_Prediction_Model_using_Attention_Multilayer_RNN_LSTM
  RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells
  ☆39Updated 7 years ago
• kalpishs / SMAI-stock-prediction
  Implemented a system that analyses previous stock data of various companies, processes Time-Series data and aims to forecast the trends o…
  ☆81Updated 8 years ago
• kristpapadopoulos / seriesnet
  Time series prediction using dilated causal convolutional neural nets (temporal CNN)
  ☆237Updated 3 years ago
• jiegzhan / time-series-forecasting-rnn-tensorflow
  Time series forecasting
  ☆79Updated 6 years ago
• blockchain99 / stock-predict-by-RNN-LSTM
  Stock prediction project using Recurrent Neural Network and LSTM
  ☆43Updated 8 years ago
• YitongCU / Duel-staged-Attention-for-NYC-Weather-prediction
  Dual Staged Attention Model for Time Series prediction
  ☆66Updated 7 years ago
• mlpanda / DeepLearning_Financial
  Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory
  ☆91Updated 3 years ago
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 7 years ago
• deKeijzer / Multivariate-time-series-models-in-Keras
  This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) tim…
  ☆139Updated 6 years ago
• kaka-lin / stock-price-predict
  Implementation of seq2seq with attention in keras
  ☆114Updated 5 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.
  ☆64Updated 5 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.
  ☆119Updated 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…
  ☆34Updated 7 years ago
• hzy46 / TensorFlow-Time-Series-Examples
  Time Series Prediction with tf.contrib.timeseries
  ☆477Updated 7 years ago
• SiaFahim / lstm-crypto-predictor
  Predicting cryptocurrency price using RNN-LSTM networks
  ☆60Updated 7 years ago