Alternatives and similar repositories for Continuous-Recurrent-Units:

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

• reml-lab / mTAN
  Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.
  ☆128Updated 3 years ago
• mlech26l / ode-lstms
  Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series
  ☆113Updated last year
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆76Updated 2 years ago
• abdulfatir / REDSDS
  Pytorch implementation of RED-SDS (NeurIPS 2021).
  ☆18Updated 3 years ago
• john-x-jiang / meta_ssm
  Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"
  ☆28Updated 6 months ago
• reml-lab / hetvae
  Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
  ☆32Updated 2 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…
  ☆74Updated 2 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆74Updated 4 months ago
• mbohlkeschneider / gluon-ts
  GluonTS - Probabilistic Time Series Modeling in Python
  ☆51Updated 3 years ago
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆90Updated 3 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆46Updated last year
• sanatonek / time_series_explainability
  ☆59Updated 4 years ago
• vincent-leguen / STRIPE
  Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"
  ☆87Updated 3 years ago
• yantijin / ScoreGradPred
  Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*
  ☆84Updated last month
• haoyfan / SelfTime
  (Under Review)
  ☆67Updated 3 years ago
• yongkyung-oh / Stable-Neural-SDEs
  [ICLR2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
  ☆33Updated last month
• edebrouwer / gru_ode_bayes
  Pytorch implementation of GRU-ODE-Bayes
  ☆230Updated 2 years ago
• alexzhou907 / ls4
  ☆19Updated last year
• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆135Updated last year
• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆109Updated 5 months ago
• mlds-lab / interp-net
  Code for "Interpolation-Prediction Networks for Irregularly Sampled Time Series", ICLR 2019.
  ☆94Updated 7 months ago
• lmz123321 / proxy_causal_discovery
  Official implementation for NeurIPS23 paper: Causal Discovery from Subsampled Time Series with Proxy Variable
  ☆27Updated 9 months 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…
  ☆25Updated 4 years ago
• PingChang818 / TDSTF
  ☆70Updated last year
• sanatonek / TNC_representation_learning
  ☆117Updated 2 years ago
• YoungseogChung / calibrated-quantile-uq
  Training quantile models
  ☆43Updated 3 months ago
• XAI-360 / TSCL
  Contrastive Learning for Time Series
  ☆38Updated last year
• weifantt / DEPTS
  ☆41Updated 2 years ago
• Z-GCNETs / Z-GCNETs
  ☆40Updated 3 years ago
• MTS-BenchMark / MvTS
  Multivariate Time Series Repository
  ☆64Updated last year