looper
Causality resource
A collection of resources and code snippets for understanding causal relationships in various fields.
A resource list for causality in statistics, data science and physics
256 stars
13 watching
34 forks
last commit: 3 months ago bayesian-inferencecausalcausal-discoverycausal-impactcausal-inferencecausal-machine-learningcausal-modelscausal-networkscausalitycausality-algorithmscausality-analysiscausationdata-sciencemachine-learningmeta-learningphysicsstatistical-inferencestatistical-mechanicsstatistical-physicsstatistics
Related projects:
Repository | Description | Stars |
---|---|---|
| A package for computing asymmetric Shapley values to assess causality in machine learning models | 72 |
| A comprehensive Python package for causal inference and graph structure recovery from observational data | 1,135 |
| A dataset and annotation scheme for Hungarian causal reasoning tasks. | 1 |
| A framework for tracking causality between events in real-time | 2 |
| An R implementation of a machine learning approach to estimate the effect of treatment on individuals | 5 |
| A data structure to track the causal history of values in a distributed key-value store | 352 |
| An R package for estimating the effect of an intervention on time series data | 1,720 |
| A tutorial project providing an R-based introduction to network centrality analysis | 2 |
| An online course website built with Quarto, providing teaching materials and supporting files for graduate-level program evaluation and causal inference courses. | 61 |
| Provides a Python package for structural causal modeling of multivariate time series data | 2 |
| Tools for calculating consistency of observer measurements in various contexts | 41 |
| A collection of resources and cheatsheets for learning and practicing data science | 63 |
| A repository of statistical modeling materials and resources for an R course on Bayesian inference | 2,018 |
| A repository of papers and resources on systems for machine learning and machine learning for systems. | 55 |
| A package for inferring fully connected networks from data measurements | 44 |