CausalDiscoveryToolbox
Causal Inference Tool
A comprehensive Python package for causal inference and graph structure recovery from observational data
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
1k stars
37 watching
199 forks
Language: Python
last commit: 10 months ago algorithmcausal-discoverycausal-inferencecausal-modelscausalitygraphgraph-structure-recoveryinferencemachine-learningpythontoolbox
Related projects:
| Repository | Description | Stars |
|---|---|---|
 nredell/shapflex | A package for computing asymmetric Shapley values to assess causality in machine learning models | 72 |
 google/causalimpact | An R package for estimating the effect of an intervention on time series data | 1,720 |
 msuzen/looper | A collection of resources and code snippets for understanding causal relationships in various fields. | 256 |
 exascaleinfolab/statix | An application for statistical type inference on RDF datasets in N3/N-Quads format | 6 |
 roronya/causalmodels | Provides a Python package for structural causal modeling of multivariate time series data | 2 |
 chat-wane/causaltrack | A framework for tracking causality between events in real-time | 2 |
 r-causal/ggdag | A package for creating and analyzing causal directed acyclic graphs using a consistent and easy-to-use API | 443 |
 dissectmalware/officeforensictools | A Python-based collection of tools for gathering forensic information from Office documents | 26 |
 edisonleeeee/greatx | A toolbox for graph reliability and robustness against noise, distribution shifts, and attacks. | 85 |
 ricardobcl/dotted-version-vectors | A data structure to track the causal history of values in a distributed key-value store | 352 |
 nytud/hucopa | A dataset and annotation scheme for Hungarian causal reasoning tasks. | 1 |
 shangtai/githubcausalsvm | An R implementation of a machine learning approach to estimate the effect of treatment on individuals | 5 |
 graspologic-org/graspologic | A package providing graph statistical algorithms and utilities for processing and analyzing graphs | 833 |
 zudi-lin/pytorch_connectomics | A deep learning framework for automatic and semi-automatic segmentation of 3D image stacks in connectomics | 172 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |