Alternatives and similar repositories for GTM-Transformer

Users that are interested in GTM-Transformer are comparing it to the libraries listed below

• alasdairtran / radflow
  [TheWebConf 2021] Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
  ☆34Updated 2 years ago
• ourownstory / AR-Net
  A simple Auto-Regressive Neural Network for time-series
  ☆177Updated 4 years ago
• IBM / TabFormer
  Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
  ☆355Updated 2 months ago
• devmofl / M5_Accuracy_3rd
  3rd ranked model in M5 accuracy competition
  ☆18Updated 4 years ago
• Roytsai27 / Dual-Attentive-Tree-aware-Embedding
  DATE: Dual Attentive Tree-aware Embedding for Customs Frauds Detection
  ☆66Updated 4 years ago
• AdityaLab / PROFHiT
  ☆31Updated 3 years ago
• HansikaPH / time-series-forecasting
  Recurrent Neural Network Implementations for Time Series Forecasting
  ☆75Updated 3 years ago
• PanpanZheng / SAFE
  ☆35Updated 5 years ago
• aybchan / uber-time-series
  Bayesian time series prediction
  ☆65Updated 5 years ago
• ojus1 / Time2Vec-PyTorch
  Reproducing the paper: "Time2Vec: Learning a Vector Representation of Time" - https://arxiv.org/pdf/1907.05321.pdf
  ☆288Updated 2 years ago
• amitesh863 / nbeats_forecast
  N-Beats library implementation
  ☆89Updated 4 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…
  ☆170Updated 5 years ago
• kdgutier / esrnn_torch
  ☆157Updated 4 years ago
• gabrielspadon / ReGENN
  Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)
  ☆30Updated last year
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆31Updated 3 years ago
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆57Updated 2 years ago
• allen-chiang / Time-Series-Transformer
  A data preprocessing package for time series data. Design for machine learning and deep learning.
  ☆215Updated 4 years ago
• salesforce / ETSformer
  PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
  ☆296Updated last year
• oneday88 / deepTCN
  ☆157Updated 4 years ago
• marisakamozz / m5
  Kaggle M5 Forecasting - Uncertainty 4th Place Solution
  ☆33Updated 3 years ago
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆65Updated 3 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆68Updated 4 years ago
• fengyang95 / Awesome-Deep-Learning-Based-Time-Series-Forecasting
  ☆149Updated 4 years ago
• pedrolarben / TimeSeriesForecasting-DeepLearning
  An experiemtal review on deep learning architectures for time series forecasting
  ☆139Updated 4 years ago
• gautham20 / pytorch-ts
  Tutorials on using encoder decoder architecture for time series forecasting
  ☆117Updated 4 years ago
• matthiasanderer / m5-accuracy-competition
  My second place solution in the M5 Accuracy competition
  ☆73Updated 5 years ago
• chulhongsung / time-series-forecasting
  Tutorial repository for time series forecasting models
  ☆31Updated last year
• firmai / tsgan
  Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))
  ☆123Updated 3 years ago
• jjdabr / forecastNet
  Code for the paper entitled "ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series F…
  ☆96Updated 4 years ago
• husnejahan / DeepAR-pytorch
  ☆268Updated 4 years ago