Lancelot39 / Causal-Copilot
☆20Updated this week
Alternatives and similar repositories for Causal-Copilot:
Users that are interested in Causal-Copilot are comparing it to the libraries listed below
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆71Updated 3 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆63Updated last week
- Example causal datasets with consistent formatting and ground truth☆77Updated last year
- Repository for "Differentiable Causal Discovery from Interventional Data"☆72Updated 3 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆150Updated last year
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆67Updated last month
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆30Updated 5 years ago
- Non-parametrics for Causal Inference☆43Updated 2 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆81Updated 6 years ago
- ☆22Updated last year
- CSuite: A Suite of Benchmark Datasets for Causality☆64Updated last year
- Nonlinear Causal Discovery with Confounders☆19Updated 2 years ago
- ☆12Updated last year
- A curated list of awesome work on causal inference, particularly in machine learning.☆99Updated 3 years ago
- Causal Discovery with Equal Variance Assumption☆9Updated 2 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆83Updated 10 months ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆58Updated 11 months ago
- Solving the causality pairs challenge (does A cause B) with ChatGPT☆76Updated 8 months ago
- Reimplementation of NOTEARS in Tensorflow☆34Updated last year
- [Experimental] Global causal discovery algorithms☆97Updated last week
- ☆24Updated 9 months ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 4 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago
- Project on Causal Machine learning CS 7290☆16Updated 5 years ago
- Code for the paper "Local Causal Discovery for Estimating Causal Effects".☆7Updated 10 months ago
- Causal Modeling with Stationary Diffusions, AISTATS 2024☆17Updated 7 months ago
- ☆24Updated last year
- Diffusion Models for Causal Discovery☆85Updated last year
- Python package for (conditional) independence testing and statistical functions related to causality.☆27Updated last month