Alternatives and similar repositories for DeepLearning-time-series

Users that are interested in DeepLearning-time-series are comparing it to the libraries listed below

• rishikksh20 / LSTM-Time-Series-Analysis
  Using LSTM network for time series forecasting
  ☆44Updated 8 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…
  ☆33Updated 8 years ago
• ashwinbhola / Stock-prediction-Dual-Attention-based-RNN-
  Financial time series forecast using dual attention RNN
  ☆27Updated 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…
  ☆143Updated 7 years ago
• mborysiak / Time-Series-Forecasting-with-ARIMA-and-LSTM
  ☆83Updated 3 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆116Updated 8 years ago
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆85Updated 7 years ago
• chuanyun / Deep-Learning-in-Time-Series
  Deep learning in time series analysis
  ☆13Updated 7 years ago
• JessieRayeBauer / Time-Series-Forecasting-
  Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling
  ☆24Updated 7 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 6 years ago
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆59Updated 3 years ago
• fatma-kursun / time-series-forecasting
  ☆22Updated 7 years ago
• cran2367 / lstm_autoencoder_classifier
  An LSTM Autoencoder for rare event classification
  ☆107Updated 6 years ago
• cran2367 / understanding-lstm-autoencoder
  Understanding an LSTM Autoencoder
  ☆38Updated 6 years ago
• patternedscience / time-series-tf-serving
  Seq2seq Model on Time-series Data: Training and Serving with TensorFlow
  ☆20Updated 6 years ago
• mridulnagpal / ensembeTimeSeries
  Ensemble of ARIMA, prophet and LSTMS RNN
  ☆35Updated 8 years ago
• szrlee / Stock-Time-Series-Analysis
  Mathematical modeling for finantial time series data
  ☆43Updated 7 years ago
• PsiPhiTheta / LSTM-Attention
  A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
  ☆73Updated 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 7 years ago
• abdullahf / lstm-kalman-hybrid-timeseries
  Hybrid Time Series using LSTM and Kalman Filtering
  ☆44Updated 2 years ago
• abrvkh / WaveNet_simple
  A simple implementation of the WaveNet model for time series forecasting
  ☆26Updated 7 years ago
• tomonori-masui / time-series-forecasting
  Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet
  ☆25Updated last year
• jiegzhan / time-series-forecasting-rnn-tensorflow
  Time series forecasting
  ☆79Updated 7 years ago
• NervanaSystems / aidc-2018-timeseries
  Deep learning for time-series data
  ☆50Updated 3 years ago
• dhairya0904 / Multivariate-time-series-prediction
  Multivariate time series prediction using LSTM in keras
  ☆33Updated 8 years ago
• lovvge / Forecasting-Tutorials
  ☆23Updated 4 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 6 years ago
• mratsim / McKinsey-SmartCities-Traffic-Prediction
  Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h no…
  ☆60Updated 7 years ago
• david10e10 / High-Dim-TS-Medium
  Deep Learning for High-Dimensional Time Series
  ☆22Updated 6 years ago
• sachinruk / KerasQuantileModel
  Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.
  ☆76Updated 8 years ago