causalincentives / pycid
Library for graphical models of decision making, based on pgmpy and networkx
☆105Updated last year
Alternatives and similar repositories for pycid:
Users that are interested in pycid are comparing it to the libraries listed below
- ☆43Updated 2 years ago
- An experimental language for causal reasoning☆198Updated last week
- [Experimental] Global causal discovery algorithms☆98Updated 3 weeks ago
- Active Bayesian Causal Inference (Neurips'22)☆54Updated 7 months ago
- CSuite: A Suite of Benchmark Datasets for Causality☆66Updated last year
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆68Updated this week
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆72Updated 3 years ago
- Simulation code for reference with MABUC article: Bareinboim, Forney, & Pearl (2015)☆17Updated 9 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆48Updated 3 years ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆47Updated last year
- Dynamic causal Bayesian optimisation☆35Updated last year
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆84Updated 2 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆63Updated last month
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆80Updated 3 months ago
- AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N. ai4climatecoop.…☆40Updated last month
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆30Updated 3 years ago
- Structural Causal Bandit☆24Updated 3 years ago
- Data Efficient Decision Making☆246Updated 2 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆82Updated 11 months ago
- ☆112Updated 5 months ago
- A Python sandbox for decision making in dynamics☆422Updated last year
- List of python packages for causal inference☆17Updated 3 years ago
- Causal Graphical Models in Python☆244Updated 2 years ago
- Project on Causal Machine learning CS 7290☆16Updated 5 years ago
- PyBNesian is a Python package that implements Bayesian networks.☆45Updated 6 months ago
- Code for the Causal Bayesian Optimization algorithm (http://proceedings.mlr.press/v108/aglietti20a/aglietti20a.pdf)☆29Updated 4 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆58Updated 11 months ago
- Example causal datasets with consistent formatting and ground truth☆80Updated last year
- ☆182Updated 2 years ago
- ☆18Updated 3 weeks ago