covid19-model / simulator
Spatiotemporal epidemic model introduced in the context of COVID-19, ACM TSAS, 2022
☆74Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for simulator
- Library for graphical models of decision making, based on pgmpy and networkx☆96Updated last year
- TIme series DiscoverY BENCHmark (tidybench)☆37Updated 8 months ago
- Uncertainty and causal emergence in complex networks☆104Updated 3 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆68Updated 3 years ago
- Data and code for COVID-19 NPI effectiveness estimation.☆30Updated 3 years ago
- A Spatio-temporal point process simulator.☆45Updated last year
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆45Updated 8 months ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆53Updated 3 years ago
- Forecasting hospitalization and ICU rates of the COVID-19 outbreak: an efficient SEIR model☆12Updated 4 years ago
- Code and data for "Stochastic Optimal Control of Epidemic Processes in Networks", ML4H at NeurIPS 2018☆12Updated last year
- A general framework for learning spatio-temporal point processes via reinforcement learning☆28Updated 3 years ago
- Bayesian modeling of COVID-19☆30Updated last year
- Active Bayesian Causal Inference (Neurips'22)☆50Updated 3 months ago
- Spatiotemporal datasets collected for network science, deep learning and general machine learning research.☆55Updated 7 months ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆79Updated 7 months ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆52Updated 4 months ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆78Updated 11 months ago
- Dataset repository for the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jo…☆23Updated this week
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆55Updated last year
- CSuite: A Suite of Benchmark Datasets for Causality☆58Updated last year
- Probabilistic generative model and efficient algorithm to model reciprocity in directed networks.☆16Updated last year
- Repository for "Differentiable Causal Discovery from Interventional Data"☆72Updated 2 years ago
- small template code to create a multilayer network using matplotlib and networkx☆109Updated 2 years ago
- hacky way to bundle some edges in networkx and matplotlib☆20Updated 4 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆44Updated 3 years ago
- Official code repository to the corresponding paper.☆28Updated last year
- Uncertainty in Conditional Average Treatment Effect Estimation☆27Updated 3 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated last year
- List of python packages for causal inference☆17Updated 3 years ago