Alternatives and similar repositories for Date2Vec

Users that are interested in Date2Vec are comparing it to the libraries listed below

• ojus1 / Time2Vec-PyTorch
  Reproducing the paper: "Time2Vec: Learning a Vector Representation of Time" - https://arxiv.org/pdf/1907.05321.pdf
  ☆283Updated 2 years ago
• alasdairtran / radflow
  [TheWebConf 2021] Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
  ☆33Updated 2 years ago
• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆174Updated 3 years ago
• xingyu617 / SimTS_Representation_Learning
  ☆47Updated 2 years ago
• zahraatashgahi / ALACPD
  Change-point detection using neural networks
  ☆18Updated last year
• mbohlkeschneider / gluon-ts
  GluonTS - Probabilistic Time Series Modeling in Python
  ☆51Updated 3 years ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆78Updated 2 years ago
• cruiseresearchgroup / TSCP2
  Time Series Change Point Detection based on Contrastive Predictive Coding
  ☆80Updated 3 years ago
• xiao03 / nh
  A PyTorch Implementation of Neural Hawkes Process. Redefined.
  ☆33Updated 4 years ago
• BorgwardtLab / Set_Functions_for_Time_Series
  Repository of the ICML 2020 paper "Set Functions for Time Series"
  ☆126Updated 4 years ago
• razhangwei / CAUSE
  ☆30Updated 3 years ago
• ServiceNow / TACTiS
  TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research
  ☆136Updated last year
• haoyfan / SelfTime
  (Under Review)
  ☆67Updated 3 years ago
• gdetor / pytorch_time2vec
  ☆13Updated 3 years ago
• QiangAIResearcher / sahp_repo
  ☆60Updated 4 years ago
• salesforce / CoST
  PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
  ☆224Updated 2 years ago
• tonygracious / Temporal-Point-Process-TPP-
  This repository contains recent background materials, current works, and codes for researching in TPP.
  ☆16Updated last year
• gabrielspadon / ReGENN
  Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)
  ☆30Updated 10 months ago
• sanatonek / TNC_representation_learning
  ☆121Updated 2 years ago
• ariaghora / fast-robust-stl
  Unofficial implementation of "Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns"
  ☆42Updated 4 years ago
• 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
• sanatonek / time_series_explainability
  ☆61Updated 4 years ago
• Thartvigsen / StopAndHop
  Code for Stop&Hop, a method for learning to classify irregularly-sampled time series early
  ☆18Updated 8 months ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆260Updated 11 months ago
• reml-lab / mTAN
  Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.
  ☆133Updated 3 years ago
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆91Updated 3 years ago
• yangalan123 / anhp-andtt
  Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
  ☆58Updated 5 months ago
• StatsDLMathsRecomSys / Self-attention-with-Functional-Time-Representation-Learning
  ☆50Updated 2 years ago
• LiuZH-19 / ESG
  PyTorch implementation of ESG
  ☆83Updated 2 years ago
• giuliomattolin / tsmixer-pytorch
  PyTorch Implementation of "TSMixer: An All-MLP Architecture for Time Series Forecasting"
  ☆35Updated last year