Alternatives and similar repositories for EINNs

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

• CrickWu / DL4Epi
  Deep Learning for Epidemiological Predictions
  ☆14Updated 5 years ago
• deepkashiwa20 / MepoGNN
  [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks
  ☆29Updated 2 years ago
• behnamnkp / Deep-MTS-LSTM
  ☆12Updated last year
• miemieyanga / PandemicLLM
  Code and Data for Advancing real-time infectious disease forecasting using large language models
  ☆35Updated last month
• dkesada / dbnR
  Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
  ☆57Updated last year
• Emory-Melody / awesome-epidemic-modeling-papers
  [KDD 2024] Papers about deep learning in epidemic modeling.
  ☆59Updated 10 months ago
• Emory-Melody / EpiLearn
  A Python Library for Machine Learning in Epidemic Data Modeling and Analysis
  ☆50Updated 2 weeks ago
• HySonLab / pandemic_tgnn
  Predicting COVID-19 pandemic by spatio-temporal graph neural networks https://arxiv.org/abs/2305.07731
  ☆12Updated last year
• zbliu98 / GRAM-ODE
  Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"
  ☆18Updated last year
• ThomasMBury / deep-early-warnings-pnas
  Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)
  ☆59Updated 3 months ago
• i6092467 / GVAR
  An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
  ☆77Updated 2 years ago
• M-Soundouss / CopulaConformalMTR
  Code for paper "Copula-based conformal prediction for Multi-Target Regression"
  ☆34Updated 4 years ago
• jakezj / SICRD_model_COVID19_in_China
  A meta-population model for COVID19 in China
  ☆11Updated 5 years ago
• Emergent-Epidemics / infectious_disease_predictability
  Code and data for On the Predictability of Infectious Disease Outbreaks by SV Scarpino & G Petri
  ☆20Updated 5 years ago
• v1xerunt / STAN
  ☆24Updated last year
• ihawryluk / GP_nowcasting
  GP nowcasting for Brazil Covid-19 mortality
  ☆9Updated last year
• xinychen / tracebase
  Temporal matrix factorization for sparse traffic time series forecasting.
  ☆57Updated 2 months ago
• bnusss / GGN
  Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction
  ☆70Updated 5 years ago
• Gandor26 / covid-open
  ☆15Updated 4 years ago
• jarrycyx / UNN
  Causal Neural Nerwork
  ☆120Updated last month
• Graph-Machine-Learning-Group / grin
  Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)
  ☆169Updated 3 years ago
• sakhanna / SRU_for_GCI
  Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality
  ☆36Updated 4 years ago
• Rose-STL-Lab / CopulaCPTS
  Code for Copula conformal prediction paper (ICLR 2024)
  ☆28Updated 10 months ago
• UGentBiomath / COVID19-Model
  Compartmental SEIQRD model to model the effects of government policies on SARS-CoV-2 spread in Belgium. Macro-economic Input-Output model…
  ☆23Updated 6 months ago
• Rose-STL-Lab / Spatiotemporal_UQ
  Uncertainty Quantification for Deep Spatiotemporal Forecasting
  ☆23Updated 11 months ago
• CsnowyLstar / HoGRC
  Higher-order Granger reservoir computing
  ☆23Updated 7 months ago
• iancovert / Neural-GC
  Granger causality discovery for neural networks.
  ☆223Updated 4 years ago
• mims-harvard / Raindrop
  Graph Neural Networks for Irregular Time Series
  ☆201Updated 2 years ago
• Abdulmajid-Murad / deep_probabilistic_forecast
  PyTorch implementation of probabilistic deep forecast applied to air quality.
  ☆26Updated 3 years ago
• m-serious / tipping-predictor
  Code to early predict the onset of critical transitions in networked dynamical systems.
  ☆22Updated 9 months ago