Alternatives and similar repositories for time-series-forecasting-rnn-tensorflow

Users that are interested in time-series-forecasting-rnn-tensorflow are comparing it to the libraries listed below

• 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
• Kanav123 / ArimaAnnHybrid
  Comparisons of ARIMA , ANN and a Hybrid model for Timeseries forecasting
  ☆53Updated 8 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
• 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
• cran2367 / lstm_autoencoder_classifier
  An LSTM Autoencoder for rare event classification
  ☆105Updated 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
• aaxwaz / Multivariate-Time-Series-forecast-using-seq2seq-in-TensorFlow
  ☆151Updated 7 years ago
• HamishWoodrow / anomaly_detection
  This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average wit…
  ☆63Updated 6 years ago
• rakshita95 / DeepLearning-time-series
  LSTM for time series forecasting
  ☆28Updated 7 years ago
• gcarq / keras-timeseries-prediction
  Time series prediction with Sequential Model and LSTM units
  ☆118Updated 8 years ago
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆59Updated 2 years ago
• YitongCU / Duel-staged-Attention-for-NYC-Weather-prediction
  Dual Staged Attention Model for Time Series prediction
  ☆66Updated 7 years ago
• rishikksh20 / LSTM-Time-Series-Analysis
  Using LSTM network for time series forecasting
  ☆44Updated 8 years ago
• mborysiak / Time-Series-Forecasting-with-ARIMA-and-LSTM
  ☆81Updated 3 years ago
• ashwinbhola / Stock-prediction-Dual-Attention-based-RNN-
  Financial time series forecast using dual attention RNN
  ☆27Updated 6 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 7 years ago
• antoniopaisfernandes / Demand-Forecasting
  This machine learning model (LSTM Time Series model) helps us to forecast demand of a supply chain business problem. This model uses Kera…
  ☆28Updated 7 years ago
• dhairya0904 / Multivariate-time-series-prediction
  Multivariate time series prediction using LSTM in keras
  ☆33Updated 7 years ago
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆184Updated 2 years ago
• drewthayer / time-series-forecasting-CNN
  Using a convolutional neural net for time series forecasting
  ☆20Updated 6 years ago
• danielgy / Paper-List-of-Time-Series-Forecasting-with-Deep-Learning
  ☆93Updated 7 years ago
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆86Updated 6 years ago
• 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
• fatma-kursun / time-series-forecasting
  ☆22Updated 6 years ago
• abis330 / PredAir
  Forecasting air pollution using temporal attention mechanism in Beijing
  ☆47Updated 5 years ago
• NshanPotikyan / TransferLearningTimeSeries
  Transfer Learning for Time Series Prediction Task
  ☆104Updated 6 years ago
• manohar029 / TimeSeries-Seq2Seq-deepLSTMs-Keras
  This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time se…
  ☆42Updated 6 years ago
• kristpapadopoulos / seriesnet
  Time series prediction using dilated causal convolutional neural nets (temporal CNN)
  ☆237Updated 3 years ago