Alternatives and similar repositories for ExtremeEventForecasting

Users that are interested in ExtremeEventForecasting are comparing it to the libraries listed below

• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆59Updated 2 years ago
• forecasts-and-nn / n-beats
  N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆23Updated 6 years ago
• autonlab / esrnn
  Hybrid ES-RNN models for time series forecasting
  ☆19Updated 4 years ago
• antklen / kaggle_favorita-grocery-sales
  12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting
  ☆15Updated 7 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 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
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆86Updated 3 years ago
• sunfanyunn / DARNN
  A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆111Updated last year
• gautham20 / pytorch-ts
  Tutorials on using encoder decoder architecture for time series forecasting
  ☆117Updated 4 years ago
• 3catz / deeplearning_timeseries
  Deep Learning + Time Series Analysis
  ☆27Updated 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
  ☆40Updated 8 years ago
• YitongCU / Duel-staged-Attention-for-NYC-Weather-prediction
  Dual Staged Attention Model for Time Series prediction
  ☆66Updated 7 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.
  ☆116Updated 7 years ago
• KunalArora / kaggle-m5-forecasting
  Time-Series forecasting using Stats models, LightGBM & LSTM
  ☆39Updated 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
• cingtiye / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆17Updated 5 years ago
• arleigh418 / Paper-Implementation-DSTP-RNN-For-Stock-Prediction-Based-On-DA-RNN
  基於DA-RNN之DSTP-RNN論文試做(Ver1.0)
  ☆78Updated 5 years ago
• lovvge / Forecasting-Tutorials
  ☆23Updated 4 years ago
• IoannisNasios / M5_Uncertainty_3rd_place
  M5 Uncertainty kaggle competition, 3rd place solution
  ☆40Updated last year
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 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
• vincekellner / demandforecasting
  Forecast taxi demand for given areas in New York City
  ☆15Updated 5 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆48Updated 3 years ago
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 7 years ago
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆31Updated 3 years ago
• nckwhiteley / volatility-change-points
  Dynamic time series clustering via volatility change-points
  ☆16Updated 6 years ago
• LenzDu / Kaggle-Competition-Favorita
  5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
  ☆260Updated 7 years ago
• bgithub1 / da_rnn
  RNN based on Chandler Zuo's implementation of the paper: A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆18Updated last year
• kaka-lin / stock-price-predict
  Implementation of seq2seq with attention in keras
  ☆115Updated 5 years ago