Alternatives and similar repositories for deepar

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

• jingw2 / demand_forecast
  ☆469Updated 2 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆394Updated 5 years ago
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆894Updated 2 years ago
• LeeDoYup / RobustSTL
  Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
  ☆301Updated 5 years ago
• damitkwr / ESRNN-GPU
  PyTorch GPU implementation of the ES-RNN model for time series forecasting
  ☆319Updated 6 years ago
• Daniela-Shereen / GBRT-for-TSF
  ☆205Updated 2 years ago
• husnejahan / DeepAR-pytorch
  ☆267Updated 4 years ago
• shunyaoshih / TPA-LSTM
  Temporal Pattern Attention for Multivariate Time Series Forecasting
  ☆731Updated 6 years ago
• Mcompetitions / M4-methods
  Data, Benchmarks, and methods submitted to the M4 forecasting competition
  ☆790Updated 5 years ago
• JEddy92 / TimeSeries_Seq2Seq
  This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series for…
  ☆613Updated 6 years ago
• mattsherar / Temporal_Fusion_Transform
  Pytorch Implementation of Google's TFT
  ☆274Updated 5 years ago
• oneday88 / deepTCN
  ☆157Updated 4 years ago
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆185Updated 2 years ago
• fbadine / LSTNet
  A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
  ☆177Updated 3 years ago
• amitesh863 / nbeats_forecast
  N-Beats library implementation
  ☆89Updated 3 years ago
• laiguokun / LSTNet
  ☆684Updated 2 years ago
• cchallu / nbeatsx
  ☆205Updated 3 years ago
• kdgutier / esrnn_torch
  ☆157Updated 4 years ago
• Azure / DeepLearningForTimeSeriesForecasting
  A tutorial demonstrating how to implement deep learning models for time series forecasting
  ☆679Updated 4 years ago
• LongxingTan / Time-series-prediction
  tfts: Time Series Deep Learning Models in TensorFlow
  ☆868Updated 2 weeks ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆261Updated last year
• microsoft / anomalydetector
  SR-CNN
  ☆262Updated 2 years ago
• Zhenye-Na / DA-RNN
  📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)
  ☆425Updated 4 years ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆143Updated 6 years ago
• Lorne0 / LSTNet_keras
  Keras version of LSTNet
  ☆96Updated 6 years ago
• dehoyosb / temporal_fusion_transformer_pytorch
  ☆232Updated 5 years ago
• Mcompetitions / M5-methods
  Data, Benchmarks, and methods submitted to the M5 forecasting competition
  ☆640Updated 2 years ago
• Seanny123 / da-rnn
  Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
  ☆340Updated 4 years ago
• fengyang95 / Awesome-Deep-Learning-Based-Time-Series-Forecasting
  ☆149Updated 4 years ago
• jrmontag / STLDecompose
  A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
  ☆187Updated 6 years ago