ivanbelyj/causal-editor

Desktop visual editor of causal models written in JavaScript using Electron and D3

Language: JavaScript - Size: 1.05 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 1 - Forks: 0

causy-dev/causy

Causal discovery made easy.

Language: Python - Size: 8.69 MB - Last synced: about 7 hours ago - Pushed: about 7 hours ago - Stars: 16 - Forks: 0

neildhir/non-stationary-causal-bandits

Non-stationary multi-armed bandit under a causal perspective

Language: Jupyter Notebook - Size: 1.71 MB - Last synced: about 3 hours ago - Pushed: about 14 hours ago - Stars: 1 - Forks: 1

MinghuiChen43/awesome-trustworthy-deep-learning

A curated list of trustworthy deep learning papers. Daily updating...

Size: 7.19 MB - Last synced: about 4 hours ago - Pushed: about 17 hours ago - Stars: 283 - Forks: 32

rguo12/awesome-causality-algorithms

An index of algorithms for learning causality with data

Size: 320 KB - Last synced: about 15 hours ago - Pushed: 9 months ago - Stars: 2,792 - Forks: 434

pcausal/practicallycausal.com

Language: CSS - Size: 1.49 MB - Last synced: about 3 hours ago - Pushed: about 19 hours ago - Stars: 0 - Forks: 0

py-why/pywhy-graphs

[Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.

Language: Python - Size: 14.9 MB - Last synced: 1 day ago - Pushed: 9 days ago - Stars: 38 - Forks: 7

BiomedSciAI/causallib

A Python package for modular causal inference analysis and model evaluations

Language: Python - Size: 12.8 MB - Last synced: 2 days ago - Pushed: 6 months ago - Stars: 662 - Forks: 93

larslorch/stadion

Causal Modeling with Stationary Diffusions, AISTATS 2024

Language: Python - Size: 369 KB - Last synced: 2 days ago - Pushed: 2 days ago - Stars: 3 - Forks: 0

ToineSayan/counterfactual-representations-for-explanation

Pytorch implementation of 'Explaining text classifiers with counterfactual representations'

Language: Python - Size: 7.53 MB - Last synced: 2 days ago - Pushed: 2 days ago - Stars: 0 - Forks: 0

py-why/causal-learn

Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

Language: Python - Size: 27 MB - Last synced: 1 day ago - Pushed: 17 days ago - Stars: 983 - Forks: 168

altdeep/causalML

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

Language: Jupyter Notebook - Size: 475 MB - Last synced: 3 days ago - Pushed: 3 days ago - Stars: 698 - Forks: 191

rr-learning/CausalWorld

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Language: Python - Size: 178 MB - Last synced: 3 days ago - Pushed: over 1 year ago - Stars: 200 - Forks: 25

cdt15/lingam

Python package for causal discovery based on LiNGAM.

Language: Python - Size: 5.98 MB - Last synced: 3 days ago - Pushed: about 1 month ago - Stars: 344 - Forks: 50

itamarst/eliot

Eliot: the logging system that tells you *why* it happened

Language: Python - Size: 1.91 MB - Last synced: about 11 hours ago - Pushed: 2 months ago - Stars: 1,087 - Forks: 65

charmlab/recourse

Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831

Language: Python - Size: 1.14 MB - Last synced: 2 days ago - Pushed: over 1 year ago - Stars: 32 - Forks: 5

gmgeorg/pypsps

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

Language: Jupyter Notebook - Size: 4.11 MB - Last synced: 6 days ago - Pushed: 6 days ago - Stars: 14 - Forks: 1

py-why/dodiscover

[Experimental] Global causal discovery algorithms

Language: Python - Size: 422 MB - Last synced: 1 day ago - Pushed: 1 day ago - Stars: 58 - Forks: 14

jaabmar/confounder-lower-bound

Code for the paper "Hidden yet quantifiable: A lower bound for confounding strength using randomized trials"

Language: Python - Size: 1.29 MB - Last synced: 6 days ago - Pushed: 6 days ago - Stars: 3 - Forks: 0

m4urin/temporal-causal-discovery

Researching causal relationships in time series data using Temporal Convolutional Networks (TCNs) combined with attention mechanisms. This approach aims to identify complex temporal interactions. Additionally, we're incorporating uncertainty quantification to enhance the reliability of our causal predictions.

Language: Jupyter Notebook - Size: 61.6 MB - Last synced: 6 days ago - Pushed: 6 days ago - Stars: 3 - Forks: 0

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: 8 days ago - Pushed: 8 days ago - Stars: 9 - Forks: 0

py-why/EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Language: Jupyter Notebook - Size: 43.1 MB - Last synced: 11 days ago - Pushed: 14 days ago - Stars: 3,545 - Forks: 675

DanuserLab/Granger-Causality-Analysis-of-Lamellipodia

Pipeline for inference of Granger-causal relations in molecular systems to study actin regulation in lamellipodia

Language: MATLAB - Size: 1.81 GB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 4 - Forks: 1

KurtButler/2023-CCM-paper

Reproducible code for our paper, "On Causal Discovery with Convergent Cross Mapping"

Language: MATLAB - Size: 1.63 MB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 2 - Forks: 0

evan-magnusson/rdd

Python tools for regression discontinuity designs

Language: Python - Size: 619 KB - Last synced: 6 days ago - Pushed: over 4 years ago - Stars: 66 - Forks: 23

imirzadeh/awesome-causal-inference

A (concise) curated list of awesome Causal Inference resources.

Size: 12.7 KB - Last synced: about 15 hours ago - Pushed: over 1 year ago - Stars: 206 - Forks: 35

ivanbelyj/CausalModel

A structure for representing possible states of a causal entity (such as plot, generalized character personality, aspects of natural language typological structure, etc.) taking into account the probabilities of facts

Language: C# - Size: 575 KB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 0 - Forks: 0

causalincentives/pycid

Library for graphical models of decision making, based on pgmpy and networkx

Language: Jupyter Notebook - Size: 5.63 MB - Last synced: 11 days ago - Pushed: 8 months ago - Stars: 88 - Forks: 13

py-why/dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Language: Python - Size: 585 MB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 6,714 - Forks: 906

KonstantinosBarmpas/Causal-Framework-for-BCIs

[JNE] Journal of Neural Engineering

Size: 2.93 KB - Last synced: 14 days ago - Pushed: 14 days ago - Stars: 0 - Forks: 0

pgmpy/pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

Language: Python - Size: 9.42 MB - Last synced: 27 days ago - Pushed: 28 days ago - Stars: 2,606 - Forks: 694

clinicalml/proxy-anchor-regression

Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)

Language: Jupyter Notebook - Size: 813 KB - Last synced: 15 days ago - Pushed: about 2 years ago - Stars: 10 - Forks: 2

majianthu/pycopent

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

Language: Python - Size: 112 KB - Last synced: 12 days ago - Pushed: about 1 month ago - Stars: 132 - Forks: 28

juangamella/causal-chamber-paper

Code to reproduce the case studies of the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jonas Peters and Peter Bühlmann.

Language: Jupyter Notebook - Size: 2.77 MB - Last synced: 14 days ago - Pushed: 15 days ago - Stars: 1 - Forks: 0

agrumery/aGrUM

This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).

Language: Jupyter Notebook - Size: 293 MB - Last synced: 15 days ago - Pushed: 15 days ago - Stars: 21 - Forks: 0

fulifeng/Causal_Reading_Group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

Size: 143 KB - Last synced: 5 days ago - Pushed: about 1 year ago - Stars: 488 - Forks: 75

mrosol/Nonlincausality

Python package for Granger causality test with nonlinear forecasting methods.

Language: Python - Size: 213 KB - Last synced: 16 days ago - Pushed: about 2 months ago - Stars: 55 - Forks: 12

SUwonglab/CausalEGM

A General Causal Inference Framework by Encoding Generative Modeling

Language: Python - Size: 1.83 MB - Last synced: 17 days ago - Pushed: 18 days ago - Stars: 52 - Forks: 7

matheusfacure/python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Language: Jupyter Notebook - Size: 46.9 MB - Last synced: 21 days ago - Pushed: about 1 month ago - Stars: 2,429 - Forks: 428

IDSIA/credici

Credici: Credal Inference for Causal Inference

Language: Java - Size: 978 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 13 - Forks: 1

FenTechSolutions/CausalDiscoveryToolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

Language: Python - Size: 13.9 MB - Last synced: 13 days ago - Pushed: about 1 month ago - Stars: 1,051 - Forks: 200

felixleopoldo/benchpress

A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.

Language: Python - Size: 122 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 57 - Forks: 16

deepcausality-rs/deep_causality

Hyper-geometric computational causality library for Rust

Language: Rust - Size: 6.88 MB - Last synced: 7 days ago - Pushed: about 1 month ago - Stars: 121 - Forks: 7

declare-lab/RECCON

This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

Language: Python - Size: 15.9 MB - Last synced: 17 days ago - Pushed: over 1 year ago - Stars: 159 - Forks: 29

Kanaries/Rath

Next generation of automated data exploratory analysis and visualization platform.

Language: TypeScript - Size: 81.8 MB - Last synced: 19 days ago - Pushed: 21 days ago - Stars: 3,952 - Forks: 287

maks-sh/scikit-uplift

:exclamation: uplift modeling in scikit-learn style in python :snake:

Language: Python - Size: 7.79 MB - Last synced: 20 days ago - Pushed: 6 months ago - Stars: 689 - Forks: 95

wmayner/pyphi

A toolbox for integrated information theory.

Language: Python - Size: 22 MB - Last synced: 18 days ago - Pushed: about 1 month ago - Stars: 353 - Forks: 95

uhlerlab/causaldag

Python package for the creation, manipulation, and learning of Causal DAGs

Language: JavaScript - Size: 8.77 MB - Last synced: 14 days ago - Pushed: about 1 year ago - Stars: 134 - Forks: 17

OscarEngelbrektson/SyntheticControlMethods

A Python package for causal inference using Synthetic Controls

Language: Python - Size: 69.8 MB - Last synced: 4 days ago - Pushed: 3 months ago - Stars: 158 - Forks: 45

sergeivolodin/causality-disentanglement-rl

Simple world models lead to good abstractions, Google Research internship 2020/master thesis at EPFL LCN 2021 ⬛◼️▪️🔦

Language: Python - Size: 174 MB - Last synced: 24 days ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

eric-ai-lab/ComCLIP

Official implementation and dataset for the NAACL 2024 paper "ComCLIP: Training-Free Compositional Image and Text Matching"

Language: Python - Size: 7.86 MB - Last synced: 23 days ago - Pushed: 23 days ago - Stars: 22 - Forks: 0

Hanagojiv/Causal-Inference

Causality is a fundamental concept that seeks to determine the relationships between events, particularly to discern whether one event is the result of another. In this notebook we will establish causality by determining whether a change in one variable causes a change in another variable.

Language: Jupyter Notebook - Size: 2.35 MB - Last synced: 27 days ago - Pushed: 27 days ago - Stars: 0 - Forks: 0

vangj/py-bbn

Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling

Language: Jupyter Notebook - Size: 2.92 MB - Last synced: 1 day ago - Pushed: about 1 month ago - Stars: 53 - Forks: 17

microsoft/robustdg

Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.

Language: Python - Size: 65.6 MB - Last synced: 16 days ago - Pushed: 7 months ago - Stars: 168 - Forks: 29

salesforce/causalai

Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data

Language: Jupyter Notebook - Size: 8.87 MB - Last synced: 25 days ago - Pushed: 6 months ago - Stars: 220 - Forks: 25

mikenguyen13/data_analysis

Streamline a data analysis process

Language: HTML - Size: 1.32 GB - Last synced: 21 days ago - Pushed: 21 days ago - Stars: 57 - Forks: 29

NeoNeuron/causal4reconstruction

Code for the PNAS paper: Causal connectivity measures for pulse-output network reconstruction: Analysis and applications

Language: Python - Size: 1.59 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 1

jabowery/HumesGuillotine

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

Size: 62.2 MB - Last synced: 19 days ago - Pushed: 20 days ago - Stars: 1 - Forks: 0

microsoft/ML4C

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

Language: Python - Size: 283 KB - Last synced: 5 days ago - Pushed: over 1 year ago - Stars: 9 - Forks: 2

mistupv/cauder-core

A Causal-Consistent Debugger for (Core) Erlang

Language: Erlang - Size: 1.88 MB - Last synced: about 1 month ago - Pushed: almost 3 years ago - Stars: 18 - Forks: 3

lixinustc/Causal-IR-DIL

Distortion invariant feature learning for image restoration from a causality perspective

Language: Python - Size: 7.12 MB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 41 - Forks: 1

rdemarqui/python-causality-handbook-ptbr Fork of matheusfacure/python-causality-handbook

Inferência Causal para os Corajosos e Verdadeiros. Uma abordagem divertida, mas rigorosa, para aprender sobre estimativa de impacto e causalidade.

Language: Jupyter Notebook - Size: 37.8 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 62 - Forks: 9

ServiceNow/typed-dag

Causal discovery with typed directed acyclic graphs (t-DAG). This is a ServiceNow Research project that was started at Element AI.

Language: Python - Size: 183 KB - Last synced: about 1 month ago - Pushed: 10 months ago - Stars: 11 - Forks: 4

divyat09/cf-feasibility

Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"

Language: Python - Size: 38.3 MB - Last synced: about 8 hours ago - Pushed: about 1 year ago - Stars: 29 - Forks: 10

Minyus/causallift

CausalLift: Python package for causality-based Uplift Modeling in real-world business

Language: Python - Size: 5.8 MB - Last synced: 26 days ago - Pushed: 12 months ago - Stars: 332 - Forks: 42

aristoteleo/Scribe-Python-notebooks

Tutorials of Scribe Python package usage cases

Language: Jupyter Notebook - Size: 1.28 MB - Last synced: about 2 months ago - Pushed: over 4 years ago - Stars: 3 - Forks: 2

juangamella/ut-lvce

Python implementation of the UT-LVCE algorithms from the 2022 paper "Perturbations and Causality in Gaussian Latent Variable Models", by A. Taeb, JL. Gamella, C. Heinze-Deml and P. Bühlmann.

Language: Python - Size: 354 KB - Last synced: about 2 months ago - Pushed: 3 months ago - Stars: 3 - Forks: 0

juangamella/icp

Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant prediction: identification and confidence intervals" by Jonas Peters, Peter Bühlmann and Nicolai Meinshausen.

Language: Python - Size: 414 KB - Last synced: about 2 months ago - Pushed: 3 months ago - Stars: 16 - Forks: 1

DataCanvasIO/YLearn

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

Language: Python - Size: 12.2 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 373 - Forks: 69

causaltext/causal-text-papers

Curated research at the intersection of causal inference and natural language processing.

Size: 165 KB - Last synced: about 2 months ago - Pushed: 3 months ago - Stars: 741 - Forks: 91

DanielhCarranza/causai

Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making systems

Language: Jupyter Notebook - Size: 379 KB - Last synced: 16 days ago - Pushed: over 3 years ago - Stars: 11 - Forks: 7

mikenguyen13/causalverse

CausalVerse: An R toolkit expediting causal research & analysis. Streamlines complex methodologies, empowering users to unveil causal relationships with precision. Your go-to for insightful causality exploration.

Language: R - Size: 11.9 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0

MLResearchAtOSRAM/cause2e

The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).

Language: Python - Size: 8.52 MB - Last synced: 23 days ago - Pushed: about 1 year ago - Stars: 55 - Forks: 4

genzstrategy/trading

Gen Z Strategy's trading models

Language: Jupyter Notebook - Size: 8.76 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 1 - Forks: 1

tsinghua-fib-lab/Causal-Recommender-Systems

An index of causal inference based recommendation algorithms.

Size: 26.4 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 36 - Forks: 2

causalgraph/causalgraph

A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.

Language: Python - Size: 165 KB - Last synced: 17 days ago - Pushed: 5 months ago - Stars: 40 - Forks: 1

i6092467/GVAR

An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.

Language: Python - Size: 61.6 MB - Last synced: 17 days ago - Pushed: about 1 year ago - Stars: 55 - Forks: 18

jrfiedler/causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

Language: Jupyter Notebook - Size: 1.51 MB - Last synced: about 2 months ago - Pushed: over 2 years ago - Stars: 1,183 - Forks: 375

jayrcausal/Essential3CRL

Research about Causality-based Reinforcement Learning. This repository includes all needed fundamentals, summary of past work and some most recent development

Language: Jupyter Notebook - Size: 63.1 MB - Last synced: 2 months ago - Pushed: 8 months ago - Stars: 7 - Forks: 0

aryamanarora/causalgym

CausalGym: Benchmarking causal interpretability methods on linguistic tasks

Language: Python - Size: 95.4 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 9 - Forks: 1

AtitWongnophadol/Data-Science-Projects

Assignment and project files in R and Python that I created as part of the data science master degree at Berkeley University.

Language: HTML - Size: 12 MB - Last synced: 2 months ago - Pushed: almost 5 years ago - Stars: 1 - Forks: 0

CausalInferenceLab/causal-inference-in-python-code Fork of matheusfacure/causal-inference-in-python-code

"실무로 통하는 인과추론 with 파이썬" (한빛미디어, 2024) 소스코드 저장소입니다.

Language: Jupyter Notebook - Size: 22.3 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 1 - Forks: 2

msuzen/looper

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

Size: 506 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 222 - Forks: 27

santikka/dosearch

dosearch: R Package for Identifying General Causal Queries

Language: R - Size: 2.57 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 7 - Forks: 0

alan-turing-institute/causal-cyber-defence

This repository contains glue-code necessary to run dynamic Causal Bayesian optimisation within the Yawning Titan cyber-simulation environment.

Language: Jupyter Notebook - Size: 1.04 MB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 8 - Forks: 3

WuYunjin/NeurIPS-2019-Causality4Climate-Competition

Language: Python - Size: 145 MB - Last synced: 2 months ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0

ueich/econ_functions

This repository is a collection of functions I found useful moving from econ to being a quantitative analyst in python

Language: Python - Size: 5.86 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 1 - Forks: 0

nicospinu/bayesian-dnt

A Bayesian hierarchical model for the mechanistic prediction of developmental neurotoxicity

Language: Jupyter Notebook - Size: 229 MB - Last synced: 2 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

ds-jrg/causal-qa-rl

We answer binary causal questions with a causality graph, a large-scale dataset of causal relations between noun phrases along with the relations' provenance data.

Language: Python - Size: 553 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

yutakaos/rUIC

R package for Unified Information-theoretic Causality

Language: C++ - Size: 7.67 MB - Last synced: 2 months ago - Pushed: 3 months ago - Stars: 5 - Forks: 0

gianlucarloni/causality_conv_nets

Experiment with our attention-inspired framework for causality-driven CNNs: learn how to model causal dispositions within image datasets and enhance your image classifier's performance and XAI robustness via our causality-factors extractor.

Language: Python - Size: 1.32 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

nredell/shapFlex

An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model

Language: R - Size: 2.13 MB - Last synced: 14 days ago - Pushed: almost 4 years ago - Stars: 70 - Forks: 7

DigitalCausalityLab/demo_repo

Demo repository for Digital Causality Lab

Language: JavaScript - Size: 482 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 7 - Forks: 1

JulianFrattini/cira-web

Web interface for the CiRA initiative

Language: JavaScript - Size: 11.1 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0

majianthu/copent

R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test

Language: R - Size: 61.5 KB - Last synced: 12 days ago - Pushed: 9 months ago - Stars: 38 - Forks: 9

tanfiona/CausalNewsCorpus

Repository for Causal News Corpus (LREC 2022) and RECESS (IJCNLP-AACL 2023)

Language: Python - Size: 3.4 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 53 - Forks: 7

richardkwo/InvariantCausal.jl

Causal Inference with Invariant Prediction

Language: Julia - Size: 2.15 MB - Last synced: 24 days ago - Pushed: over 3 years ago - Stars: 25 - Forks: 3

yfzhang114/Generalization-Causality

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

Size: 269 KB - Last synced: 3 months ago - Pushed: 5 months ago - Stars: 1,044 - Forks: 96

larslorch/avici

Amortized Inference for Causal Structure Learning, NeurIPS 2022

Language: Python - Size: 695 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 43 - Forks: 5

JBris/synthetic-control-pymc

Tutorials for the synthetic control method for causal inference using PyMC

Language: Jupyter Notebook - Size: 2.31 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0