acmi-lab / local-causal-discovery
Code for the paper "Local Causal Discovery for Estimating Causal Effects".
☆8Updated last year
Alternatives and similar repositories for local-causal-discovery:
Users that are interested in local-causal-discovery are comparing it to the libraries listed below
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆63Updated 2 months ago
- ☆12Updated 2 years ago
- Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.☆25Updated 2 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆74Updated 3 years ago
- A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…☆115Updated last year
- CSuite: A Suite of Benchmark Datasets for Causality☆67Updated last year
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆82Updated last year
- Causal Modeling with Stationary Diffusions, AISTATS 2024☆18Updated last month
- Short tutorials on the use of machine learning methods for causal inference☆49Updated 2 years ago
- ☆22Updated last year
- Example causal datasets with consistent formatting and ground truth☆82Updated this week
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆74Updated 4 years ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆48Updated last year
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- ☆27Updated 11 months ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 2 years ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 4 years ago
- ☆18Updated 5 years ago
- Code for the causal benchmark library☆12Updated last month
- ☆12Updated last year
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆33Updated 3 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆148Updated 8 months ago
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆57Updated last month
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆68Updated 3 weeks ago
- Neuropathic Pain Diagnosis Simulator☆9Updated last year
- Active Bayesian Causal Inference (Neurips'22)☆54Updated 8 months ago
- ☆26Updated 2 years ago
- ☆24Updated last year
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆28Updated last year
- ☆28Updated this week