Alternatives and similar repositories for nbeatsx:

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

• dehoyosb / temporal_fusion_transformer_pytorch
  ☆214Updated 4 years ago
• cchallu / n-hits
  ☆178Updated 2 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆384Updated 4 years ago
• thuml / Nonstationary_Transformers
  Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…
  ☆510Updated 7 months ago
• husnejahan / DeepAR-pytorch
  ☆258Updated 3 years ago
• mattsherar / Temporal_Fusion_Transform
  Pytorch Implementation of Google's TFT
  ☆252Updated 5 years ago
• salesforce / ETSformer
  PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
  ☆270Updated 10 months ago
• ts-kim / RevIN
  RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift
  ☆326Updated 6 months ago
• fbadine / LSTNet
  A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
  ☆173Updated 2 years ago
• Daniela-Shereen / GBRT-for-TSF
  ☆197Updated 2 years ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆138Updated 6 years ago
• jingw2 / demand_forecast
  ☆460Updated last year
• amitesh863 / nbeats_forecast
  N-Beats library implementation
  ☆88Updated 3 years ago
• stevinc / Transformer_Timeseries
  Pytorch code for Google's Temporal Fusion Transformer
  ☆91Updated 2 years ago
• oneday88 / deepTCN
  ☆154Updated 3 years ago
• salesforce / DeepTime
  PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
  ☆356Updated last year
• PlaytikaOSS / tft-torch
  A Python library that implements ״Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting״
  ☆119Updated last year
• salesforce / CoST
  PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
  ☆224Updated 2 years ago
• pedrolarben / TimeSeriesForecasting-DeepLearning
  An experiemtal review on deep learning architectures for time series forecasting
  ☆137Updated 3 years ago
• kdgutier / esrnn_torch
  ☆157Updated 3 years ago
• hihihihiwsf / AST
  Adversarial Sparse Transformer for Time Series Forecasting
  ☆139Updated 3 years ago
• kashif / pytorch-transformer-ts
  Repository of Transformer based PyTorch Time Series Models
  ☆303Updated 4 months ago
• hyliush / deep-time-series
  Deep learning PyTorch library for time series forecasting
  ☆121Updated last year
• 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 4 years ago
• hughxx / tsf-new-paper-taste
  A code implementation of new papers in the time series forecasting field.
  ☆122Updated last year
• rakshitha123 / TSForecasting
  This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time…
  ☆224Updated 2 years ago
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆875Updated 2 years ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆261Updated 9 months ago
• ditschuk / pytorch-tsmixer
  A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.
  ☆144Updated last year
• Zeying-Gong / PatchMixer
  About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"
  ☆200Updated 8 months ago