Alternatives and similar repositories for mTAN

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

• sanatonek / TNC_representation_learning
  ☆121Updated 2 years ago
• mims-harvard / Raindrop
  Graph Neural Networks for Irregular Time Series
  ☆199Updated 2 years ago
• Leezekun / ViTST
  [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."
  ☆148Updated last year
• JonathanCrabbe / Dynamask
  This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…
  ☆76Updated 3 years ago
• sindhura97 / STraTS
  ☆79Updated 11 months ago
• BorgwardtLab / Set_Functions_for_Time_Series
  Repository of the ICML 2020 paper "Set Functions for Time Series"
  ☆126Updated 4 years ago
• salesforce / CoST
  PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
  ☆226Updated 2 years ago
• imJiawen / Warpformer
  ☆33Updated 10 months ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆79Updated 2 years ago
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆91Updated 3 years ago
• xingyu617 / SimTS_Representation_Learning
  ☆49Updated 2 years ago
• boschresearch / Continuous-Recurrent-Units
  ☆68Updated last year
• WenjieDu / TSDB
  a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domai…
  ☆206Updated 2 months ago
• ranakroychowdhury / TARNet
  Task-Aware Reconstruction for Time-Series Transformer
  ☆62Updated 2 years ago
• jarrycyx / UNN
  Causal Neural Nerwork
  ☆117Updated 3 weeks ago
• thuml / SimMTM
  About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…
  ☆133Updated last year
• qingsongedu / Awesome-SSL4TS
  A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).
  ☆337Updated last year
• Graph-Machine-Learning-Group / grin
  Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)
  ☆167Updated 3 years ago
• Mingyue-Cheng / TimeMAE
  ☆101Updated 8 months ago
• BorealisAI / scaleformer
  ☆134Updated 2 years ago
• ChangWeiTan / TS-Extrinsic-Regression
  This repository contains the source code for time series regression.
  ☆102Updated last year
• ML4ITS / TimeVQVAE
  [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model"…
  ☆141Updated 5 months ago
• itouchz / awesome-deep-time-series-representations
  A curated list of state-of-the-art papers on deep learning for universal representations of time series.
  ☆177Updated 2 weeks ago
• EnyanDai / GANF
  Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)
  ☆153Updated 2 years ago
• sanatonek / time_series_explainability
  ☆61Updated 4 years ago
• fteufel / PyTorch-GRU-D
  PyTorch Implementation of GRU-D from "Recurrent Neural Networks for Multivariate Time Series with Missing Values" https://arxiv.org/abs/1…
  ☆26Updated 5 years ago
• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆174Updated 3 years ago
• ranakroychowdhury / PrimeNet
  ☆18Updated 2 years ago
• PeterChe1990 / GRU-D
  GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings
  ☆133Updated 2 years ago
• zzw-zwzhang / Awesome-of-Time-Series-Augmentation
  A curated list of time series augmentation resources.
  ☆65Updated 3 years ago