Alternatives and similar repositories for forecastNet:

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

• amitesh863 / nbeats_forecast
  N-Beats library implementation
  ☆89Updated 3 years ago
• rajatsen91 / deepglo
  This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the p…
  ☆168Updated 5 years ago
• sunfanyunn / DARNN
  A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆112Updated 9 months ago
• pedrolarben / TimeSeriesForecasting-DeepLearning
  An experiemtal review on deep learning architectures for time series forecasting
  ☆137Updated 3 years ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆260Updated 9 months ago
• oneday88 / deepTCN
  ☆156Updated 3 years ago
• fengyang95 / Awesome-Deep-Learning-Based-Time-Series-Forecasting
  ☆148Updated 3 years ago
• vincent-leguen / STRIPE
  Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"
  ☆87Updated 4 years ago
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆181Updated last year
• kdgutier / esrnn_torch
  ☆157Updated 3 years ago
• smallGum / MLCNN-Multivariate-Time-Series
  Codes for Multi-Level Construal Neural Network framework
  ☆48Updated 4 years ago
• HansikaPH / time-series-forecasting
  Recurrent Neural Network Implementations for Time Series Forecasting
  ☆74Updated 3 years ago
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆60Updated 2 years ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆140Updated 6 years ago
• Jeevesh8 / GHI-prediction
  PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.
  ☆57Updated 4 years ago
• mattsherar / Temporal_Fusion_Transform
  Pytorch Implementation of Google's TFT
  ☆258Updated 5 years ago
• damitkwr / ESRNN-GPU
  PyTorch GPU implementation of the ES-RNN model for time series forecasting
  ☆320Updated 5 years ago
• aybchan / uber-time-series
  Bayesian time series prediction
  ☆65Updated 4 years ago
• allen-chiang / Time-Series-Transformer
  A data preprocessing package for time series data. Design for machine learning and deep learning.
  ☆216Updated 4 years ago
• fbadine / LSTNet
  A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
  ☆173Updated 2 years ago
• gautham20 / pytorch-ts
  Tutorials on using encoder decoder architecture for time series forecasting
  ☆114Updated 3 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 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 5 years ago
• IvanBongiorni / GAN-RNN_Timeseries-imputation
  Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
  ☆173Updated 2 years ago
• cchallu / nbeatsx
  ☆197Updated 3 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆47Updated 3 years ago
• drzhang3 / DeepTimeSeriesModel
  A paper list for Time series modelling, including prediciton and anomaly detection
  ☆92Updated 5 years ago
• tianchen101 / MQRNN
  Multi-Quantile Recurrent Neural Network for Quantile Regression
  ☆63Updated 4 years ago
• abis330 / PredAir
  Forecasting air pollution using temporal attention mechanism in Beijing
  ☆47Updated 5 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆387Updated 5 years ago