Alternatives and similar repositories for Raindrop:

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

• reml-lab / mTAN
  Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.
  ☆129Updated 3 years ago
• 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)
  ☆163Updated 2 years ago
• aikunyi / FourierGNN
  Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"
  ☆206Updated last year
• thuml / SimMTM
  About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…
  ☆126Updated 11 months ago
• Leezekun / ViTST
  [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."
  ☆143Updated last year
• emadeldeen24 / CA-TCC
  [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
  ☆139Updated 10 months ago
• ranakroychowdhury / TARNet
  Task-Aware Reconstruction for Time-Series Transformer
  ☆60Updated 2 years ago
• sindhura97 / STraTS
  ☆73Updated 8 months ago
• liuxz1011 / TodyNet
  TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification
  ☆69Updated 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…
  ☆75Updated 2 years ago
• Frank-Wang-oss / FCSTGNN
  ☆107Updated last year
• Mingyue-Cheng / TimeMAE
  ☆92Updated 5 months ago
• qingsongedu / Awesome-SSL4TS
  A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).
  ☆317Updated 11 months ago
• BorealisAI / scaleformer
  ☆131Updated 2 years ago
• sanatonek / TNC_representation_learning
  ☆118Updated 2 years ago
• boschresearch / Continuous-Recurrent-Units
  ☆64Updated last year
• ZhuoLinLi-shu / SDGL
  The official implementation of SDGL
  ☆32Updated 8 months ago
• jarrycyx / UNN
  Causal Neural Nerwork
  ☆105Updated last year
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆81Updated 2 years ago
• WenjieDu / Awesome_Imputation
  Awesome Deep Learning for Time-Series Imputation, including an unmissable paper list about applying neural networks to impute incomplete …
  ☆287Updated 3 weeks ago
• mqwfrog / ULTS
  ULTS: A unified and standardized library of unsupervised representation learning approaches for time series
  ☆46Updated last year
• imJiawen / Warpformer
  ☆30Updated 7 months ago
• BorgwardtLab / Set_Functions_for_Time_Series
  Repository of the ICML 2020 paper "Set Functions for Time Series"
  ☆124Updated 4 years 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.
  ☆160Updated 4 months ago
• weifantt / Dish-TS
  Time Series Forecasting, Distribution Shift
  ☆81Updated last year
• zshhans / MSD-Mixer
  [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
  ☆89Updated 7 months ago
• qianlima-lab / time-series-ptms
  This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).
  ☆175Updated 6 months ago
• EnyanDai / GANF
  Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)
  ☆153Updated 2 years ago
• RadiantResearch / TSAT
  Transformer based model for time series prediction
  ☆131Updated 2 years ago
• salesforce / CoST
  PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
  ☆223Updated 2 years ago