GitHub topics: causality-algorithms

Repositories

DataCanvasIO/YLearn

YLearn, a pun of "learn why", is a python package for causal inference

Language: Python - Size: 12.2 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 419 - Forks: 75

deepcausality-rs/deep_causality

Hyper-geometric computational causality library for Rust

Language: Rust - Size: 7.45 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 165 - Forks: 10

rguo12/awesome-causality-algorithms

An index of algorithms for learning causality with data

Size: 208 KB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 3,131 - Forks: 467

msuzen/looper

A resource list for causality in statistics, data science and physics

Size: 789 KB - Last synced at: 10 days ago - Pushed at: 22 days ago - Stars: 264 - Forks: 33

santikka/dosearch

dosearch: R Package for Identifying General Causal Queries

Language: R - Size: 2.64 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 0

gmgeorg/pypsps

Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras

Language: Jupyter Notebook - Size: 5.54 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 16 - Forks: 1

IntelLabs/causality-lab

Causal discovery algorithms and tools for implementing new ones

Language: Jupyter Notebook - Size: 8.52 MB - Last synced at: 29 days ago - Pushed at: 4 months ago - Stars: 217 - Forks: 28

santikka/causaleffect

causaleffect: R package for identifying causal effects.

Language: R - Size: 350 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 30 - Forks: 6

xpmoe/app

Mixture of Experts Framework for Enhanced Explainability of Anxiety States Pre- and Post-Intervention Across Experimental Groups

Size: 9.77 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

jabowery/HumesGuillotine

Hume's Guillotine: Beheading the social pseudo-sciences with the Algorithmic Information Criterion for CAUSAL model selection.

Size: 62.3 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0

JBris/synthetic-control-pymc

Tutorials for the synthetic control method for causal inference using PyMC

Language: Jupyter Notebook - Size: 2.31 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

microsoft/ML4C

[SDM'23] ML4C: Seeing Causality Through Latent Vicinity

Language: Python - Size: 283 KB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 2

DSsoli/esa-2scm

ESA-2SCM for Causal Discovery: Causal Modeling with Elastic Segmentation-based Synthetic Instrumental Variable

Language: Python - Size: 585 KB - Last synced at: 29 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

lere01/AutoregressiveMLPMixer

An MLPMIxer adapted for causality

Language: Python - Size: 77.1 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

inovex/justcause

💊 Comparing causality methods in a fair and just way.

Language: Jupyter Notebook - Size: 7.52 MB - Last synced at: 30 days ago - Pushed at: about 5 years ago - Stars: 138 - Forks: 15

This R package is based on the work presented in A. Jérolon et al., "Causal mediation analysis in presence of multiple mediators uncausally related".The work allowing multiple mediation analyzes with a survival outcome was largely developed with Arce Domingo. This work is presented in Domingo-Relloso et al., "Causal mediation for uncausally relate

Language: HTML - Size: 2.12 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 6 - Forks: 2

santikka/cfid

cfid: R package for identifying counterfactuals.

Language: R - Size: 218 KB - Last synced at: 3 days ago - Pushed at: 10 months ago - Stars: 7 - Forks: 1

ssbin0914/Causal-Mode-Multiplexer

Official PyTorch Implementation for "Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection" in CVPR 2024

Language: Python - Size: 1.24 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 0

biswasr/cits

Python package for CITS algorithm: Causal inference from time series data

Language: Python - Size: 4.74 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 2 - Forks: 0

causal-lab-miism/deep_causal_inference_ite_library

Code library for training causal inference deep learning models with automatic hyperparameter optimization written in Tensorflow 2.

Language: Python - Size: 12.1 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 1

ruteee/DetectionCausalRelationshipsTimeSeries

Code for paper "A method for detecting causal relationships between industrial alarm variables using Transfer entropy and K2-Algorithm"

Language: Jupyter Notebook - Size: 313 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 13 - Forks: 8

rguo12/network-deconfounder-wsdm20

Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.

Language: Python - Size: 15.5 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 60 - Forks: 9

JarodYv/pytetrad

A Powerful Python Library for Causal Inference

Language: Python - Size: 1.67 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

Scriddie/Varsortability

Implementations of var-sortability, sortnregress, and chain-orientation as presented in "Beware of the Simulated DAG".

Language: Python - Size: 9.77 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 1

adriaan-vd-graaf/genome_integration

MR-link and genome integration. genome_integration is a repository for the analysis of genomic data. Specifically, the repository implements the causal inference method MR-link, as well as other Mendelian randomization methods.

Language: Python - Size: 4.43 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 0