Alternatives and similar repositories for Spatiotemporal_UQ

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

• networkslab / rnn_flow
  ☆23Updated 4 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆75Updated 10 months ago
• Z-GCNETs / Z-GCNETs
  ☆41Updated 3 years ago
• reml-lab / hetvae
  Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
  ☆32Updated 3 years ago
• USC-Melady / ICLR2020-PADGN
  Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum…
  ☆52Updated 5 years ago
• zyplanet / TPGNN
  ☆31Updated last year
• panzheyi / AutoSTG
  ☆25Updated 4 years ago
• YoungseogChung / calibrated-quantile-uq
  Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)
  ☆43Updated 9 months ago
• xinychen / tracebase
  Temporal matrix factorization for sparse traffic time series forecasting.
  ☆57Updated 4 months ago
• nnzhan / TraverseNet
  ☆18Updated 3 years ago
• yoshall / SINPA
  ☆12Updated last month
• AmitRoy7781 / USTGCN
  [IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network
  ☆36Updated last year
• Friger / GAGNN
  add codes
  ☆19Updated 4 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
• gabrielspadon / ReGENN
  Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)
  ☆30Updated last year
• AdityaLab / EpiFNP
  Official repo to paper
  ☆13Updated 2 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated 2 years ago
• HerreraKrachTeichmann / NJODE
  code for "Neural Jump Ordinary Differential Equations"
  ☆30Updated 2 years ago
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆20Updated 2 years ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆81Updated 2 years ago
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆25Updated last year
• geopanag / pandemic_tgnn
  ☆47Updated 10 months ago
• iarai / NeurIPS2022-traffic4cast
  Code accompanying our NeurIPS 2022 traffic4cast challenge
  ☆80Updated 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
• LeiBAI / STG2Seq
  Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
  ☆32Updated 5 years ago
• mbohlkeschneider / gluon-ts
  GluonTS - Probabilistic Time Series Modeling in Python
  ☆53Updated 3 years ago
• edouardelasalles / stnn
  Code for the paper "Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery"
  ☆121Updated 6 years ago
• Abdulmajid-Murad / deep_probabilistic_forecast
  PyTorch implementation of probabilistic deep forecast applied to air quality.
  ☆26Updated 3 years ago
• xinychen / vars
  Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'24)
  ☆23Updated 9 months ago
• felixykliu / NAOMI
  ☆52Updated 5 years ago