Alternatives and similar repositories for Continuous-Recurrent-Units

Users that are interested in Continuous-Recurrent-Units are comparing it to the libraries listed below

• john-x-jiang / meta_ssm
  Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"
  ☆31Updated 11 months ago
• alexzhou907 / ls4
  ☆21Updated 2 years ago
• reml-lab / mTAN
  Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.
  ☆138Updated 4 years ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆81Updated 2 years ago
• yantijin / ScoreGradPred
  Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*
  ☆86Updated 6 months ago
• abdulfatir / REDSDS
  Pytorch implementation of RED-SDS (NeurIPS 2021).
  ☆18Updated 3 years ago
• mlech26l / ode-lstms
  Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series
  ☆119Updated 2 years ago
• mbohlkeschneider / gluon-ts
  GluonTS - Probabilistic Time Series Modeling in Python
  ☆52Updated 3 years ago
• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆142Updated 2 years ago
• jarrycyx / UNN
  Causal Neural Nerwork
  ☆122Updated 2 months ago
• edebrouwer / gru_ode_bayes
  Pytorch implementation of GRU-ODE-Bayes
  ☆229Updated 3 years ago
• yongkyung-oh / Stable-Neural-SDEs
  [ICLR2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
  ☆47Updated this week
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆90Updated 3 years ago
• XAI-360 / TSCL
  Contrastive Learning for Time Series
  ☆40Updated 2 years ago
• AI4HealthUOL / SSSD
  Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'
  ☆316Updated 3 months ago
• amazon-science / unconditional-time-series-diffusion
  Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion…
  ☆217Updated last year
• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆113Updated last month
• ahmedmalaa / Fourier-flows
  ☆18Updated 3 years ago
• sanatonek / time_series_explainability
  ☆61Updated 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…
  ☆75Updated 3 years ago
• vincent-leguen / STRIPE
  Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"
  ☆88Updated 4 years ago
• sanatonek / TNC_representation_learning
  ☆122Updated 2 years ago
• BorgwardtLab / Set_Functions_for_Time_Series
  Repository of the ICML 2020 paper "Set Functions for Time Series"
  ☆126Updated 4 years ago
• Daikon-Sun / AdjustAutocorrelation
  Adjusting for Autocorrelated Errors in Neural Networks for Time Series
  ☆59Updated 3 years ago
• weifantt / DEPTS
  ☆42Updated 3 years ago
• clear-nus / NCDSSM
  PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…
  ☆25Updated 2 years ago
• Z-GCNETs / Z-GCNETs
  ☆40Updated 3 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
• 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
• mzaffran / AdaptiveConformalPredictionsTimeSeries
  ☆64Updated 3 years ago