Alternatives and similar repositories for n-beats

Users that are interested in n-beats are comparing it to the libraries listed below

• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 7 years ago
• amitesh863 / nbeats_forecast
  N-Beats library implementation
  ☆89Updated 4 years ago
• sunfanyunn / DARNN
  A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆113Updated last year
• YitongCU / Duel-staged-Attention-for-NYC-Weather-prediction
  Dual Staged Attention Model for Time Series prediction
  ☆66Updated 8 years ago
• Lorne0 / LSTNet_keras
  Keras version of LSTNet
  ☆96Updated 6 years ago
• fitzgerald0 / time_series_data_mining
  TensorFlow Probability；Time series model
  ☆127Updated 3 years ago
• yiqiyu / tradaboost
  The Python implementation of Tradaboost classifier and regressor
  ☆15Updated 7 years ago
• loyalzc / transfer_learning
  Transfer Learning JDA and TrAdaboost
  ☆65Updated 7 years ago
• Maple728 / MTNet
  Tensorflow implementation of paper http://arxiv.org/abs/1809.02105
  ☆67Updated 6 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
• oneday88 / deepTCN
  ☆157Updated 4 years ago
• fengyang95 / Awesome-Deep-Learning-Based-Time-Series-Forecasting
  ☆149Updated 4 years ago
• surajiyer / Transfer-learning-with-TrAdaBoost
  Scikit-learn style implementation of TrAdaBoost algorithm
  ☆36Updated 7 years ago
• cingtiye / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆17Updated 5 years ago
• LenzDu / Kaggle-Competition-Favorita
  5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
  ☆260Updated 7 years ago
• massful / time_series_anomaly_detection
  一种时间序列突变检验算法
  ☆17Updated 8 years ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆74Updated 6 years ago
• chenchiwei / tradaboost
  Transfer learning algorithm TrAdaboost,coded by python
  ☆125Updated 2 years ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆143Updated 6 years ago
• smallGum / MLCNN-Multivariate-Time-Series
  Codes for Multi-Level Construal Neural Network framework
  ☆48Updated 5 years ago
• ThomasCai / tsfresh-feature-translation
  [译]tsfresh特征提取工具可提取的特征
  ☆53Updated 6 years ago
• shashwattrivedi / TimeSeriesTransformerLSTM
  ☆26Updated 6 years ago
• vincekellner / demandforecasting
  Forecast taxi demand for given areas in New York City
  ☆15Updated 5 years ago
• Lzeey / time-series-anomaly
  Anomaly detection on time series using Deep Learning techniques
  ☆29Updated 5 years ago
• HanXiaoyang / Feature_Engineering_and_XGBoost_Parameter_Tuning
  Examples of how to do feature engineering and Xgboost parameter tuning
  ☆48Updated 9 years ago
• gimpgael / ExtremeEventForecasting
  (Python) Extreme events model inspired from Uber article
  ☆21Updated 4 years ago
• BinhangYuan / WaveletFCNN
  Source code and dataset for the paper ""
  ☆30Updated 5 years ago
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆185Updated 2 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
• maxsxu / MTSAnomalyDetection
  Multidimensional Time Series Anomaly Detection
  ☆27Updated 7 years ago