Alternatives and similar repositories for simulator:

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

• epidemics / COVIDNPIs
  Data and code for COVID-19 NPI effectiveness estimation.
  ☆30Updated 3 years ago
• sweichwald / tidybench
  TIme series DiscoverY BENCHmark (tidybench)
  ☆37Updated last year
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• NSSAC / PatchSim
  Code for simulating the metapopulation SEIR model. Sample network for US national simulation included.
  ☆25Updated 9 months ago
• causalincentives / pycid
  Library for graphical models of decision making, based on pgmpy and networkx
  ☆105Updated last year
• dsheldon / covid
  Bayesian modeling of COVID-19
  ☆31Updated 2 years ago
• ae-foster / dad
  Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
  ☆31Updated 3 years ago
• 000Justin000 / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆58Updated 4 years ago
• Priesemann-Group / covid_bayesian_mcmc
  Bayesian Markov Chain Monte Carlo Forecast for COVID-19
  ☆41Updated 4 years ago
• Networks-Learning / strategic-decisions
  Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
  ☆28Updated last year
• sanghack81 / SDCIT
  A set of kernel-based (Un)conditional independence tests including SDCIT (Lee and Honavar, UAI 2017)
  ☆16Updated 5 years ago
• BeanHam / 2019-interpretable-machine-learning
  ☆10Updated 3 years ago
• gpschool / gpss20
  Gaussian Process and Uncertainty Quantification Summer School 2020
  ☆33Updated 2 years ago
• jkbren / einet
  Uncertainty and causal emergence in complex networks
  ☆110Updated 3 years ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆41Updated 8 months ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆72Updated 4 years ago
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆52Updated 4 years ago
• meowoodie / Spatio-Temporal-Point-Process-Simulator
  A Spatio-temporal point process simulator.
  ☆46Updated last year
• spbu-math-cs / Graph-Gaussian-Processes
  Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
  ☆53Updated last month
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆66Updated last year
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆73Updated 3 years ago
• mcontisc / CRep
  Probabilistic generative model and efficient algorithm to model reciprocity in directed networks.
  ☆16Updated last year
• OATML / ucate
  Uncertainty in Conditional Average Treatment Effect Estimation
  ☆30Updated 4 years ago
• causalens / cdml-neurips2020
  This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…
  ☆59Updated 7 months ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆81Updated 3 months ago
• 000Justin000 / gnn-residual-correlation
  ☆20Updated 3 years ago
• nanavatirutu / CausalBandits
  Project on Causal Machine learning CS 7290
  ☆16Updated 5 years ago
• cdebacco / MultiOT
  Optimal transport on Multilayer networks
  ☆16Updated last month
• synthpops / synthpops
  Create synthetic populations for COVID-19 epidemic analyses.
  ☆46Updated last month
• Networks-Learning / disease-control
  Code and data for "Stochastic Optimal Control of Epidemic Processes in Networks", ML4H at NeurIPS 2018
  ☆12Updated 2 years ago