Alternatives and similar repositories for meta_ssm:

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

• boschresearch / Continuous-Recurrent-Units
  ☆63Updated last year
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆76Updated 2 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
• abdulfatir / REDSDS
  Pytorch implementation of RED-SDS (NeurIPS 2021).
  ☆18Updated 3 years ago
• networkslab / rnn_flow
  ☆23Updated 3 years ago
• YoungseogChung / calibrated-quantile-uq
  Training quantile models
  ☆43Updated 3 months ago
• tianzhou2011 / FiLM
  ☆98Updated 2 years ago
• Zekun-Cai / Koodos
  [NeurIPS 2024] Continuous Temporal Domain Generalization
  ☆42Updated 2 weeks ago
• yantijin / ScoreGradPred
  Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*
  ☆84Updated last month
• weifantt / DEPTS
  ☆41Updated 2 years ago
• xingyu617 / SimTS_Representation_Learning
  ☆47Updated last year
• alexzhou907 / ls4
  ☆19Updated last year
• reml-lab / hetvae
  Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
  ☆32Updated 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…
  ☆25Updated 4 years ago
• XAI-360 / TSCL
  Contrastive Learning for Time Series
  ☆38Updated last year
• jwyyy / AdaFNN
  [ICML 2021] Deep Learning for Functional Data Analysis with Adaptive Basis Layers
  ☆25Updated 2 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆67Updated 3 years ago
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆38Updated 2 years ago
• zhangxjohn / Reversible-Instance-Normalization
  Implementation of RevIN is based on TF2.Keras and PyTorch.
  ☆26Updated last year
• Z-GCNETs / Z-GCNETs
  ☆40Updated 3 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆74Updated 4 months ago
• cchallu / spectranet
  ☆25Updated 2 years ago
• wassname / attentive-neural-processes
  implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
  ☆92Updated last year
• mzaffran / AdaptiveConformalPredictionsTimeSeries
  ☆59Updated 2 years ago
• ahmedmalaa / Fourier-flows
  ☆17Updated 3 years ago
• Flawless1202 / Non-AR-Spatial-Temporal-Transformer
  Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.
  ☆76Updated 3 years ago
• mqwfrog / MHCCL
  MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)
  ☆38Updated 8 months ago
• DAMO-DI-ML / KDD2022-Tutorial-Time-Series
  KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
  ☆32Updated last year
• yongkyung-oh / Stable-Neural-SDEs
  [ICLR2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
  ☆33Updated last month
• mlech26l / ode-lstms
  Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series
  ☆113Updated last year