17 dependents
| Package | Description | Downloads/month |
|---|---|---|
| DoWhy is a Python library for causal inference that supports explicit modeling a... | 143K | |
| Causal graph extraction from continuous tabular data | 968 | |
| ExpAscribe: a causal inference framework for quantitative experiment ascription ... | 828 | |
| CausalPipe is a Python wrapper for Causal-Learn and Lavaan tailored for non-expe... | 571 | |
| This is a python package of mablars | 477 | |
| 302 | ||
| hierarchical data generation for causal discovery and abstraction | 294 | |
| causal-falsify: A Python library with algorithms for falsifying the unconfounded... | 246 | |
| coreason-inference | 216 | |
| CSlearn: a package for context-specific causal models | 177 | |
| PyTorch library to perform Koopman causality | 150 | |
| Official repository for the CR-CA Framework | 141 | |
| TabStruct is a comprehensive benchmark suite for tabular data generation, predic... | 140 | |
| Deep Learning for Causal Inference | 97 | |
| A simple perturbation biology, causal discovery, and optimal intervention design... | 82 | |
| Python for Causal Machine Learning | 79 | |
| Collection of methods and tools to learn causal graphs from grouped data. | 68 |