erdogant/bnlearn

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

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mckinsey/causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

Language: Python - Size: 22.8 MB - Last synced at: 11 days ago - Pushed at: 12 months ago - Stars: 2,326 - Forks: 266

msuzen/looper

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

Size: 831 KB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 264 - Forks: 33

drug2ways/drug2ways

A Python package for drug discovery by analyzing causal paths on multiscale networks

Language: Python - Size: 546 KB - Last synced at: 21 days ago - Pushed at: 12 months ago - Stars: 27 - Forks: 7

realrate/Causing

Causing: CAUsal INterpretation using Graphs

Language: Python - Size: 4.68 MB - Last synced at: 28 days ago - Pushed at: about 1 month ago - Stars: 58 - Forks: 9

paulgovan/PRA

Project Risk Analysis

Language: R - Size: 16.4 MB - Last synced at: 27 days ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

Pinghsuanlin/DS_sideProjects

Utilized time series, statistic, ML and NLP models to practice. Topics include stock forecasting (algorithm trading), US 2024 presidential election and customer sentimental review.

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serkd/app

Comparative Causal Network Analysis of Alpha Waves and HRV (Normalized) Using Knowledge Retrieval for Emotion Recognition Systems

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nredell/shapFlex

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

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jabowery/HumesGuillotine

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

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tjohnson250/overview_causal_inference

A Brief Overview of Causal Inference (xaringan presentation)

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schucan/CLD

A super light-weight web app to create causal loop diagrams (CLD) online. This is useful in Systems Thinking and System Dynamics.

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saiteki-kai/appunti-magistrale

appunti magistrale - informatica

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Camilla9347/JBI-Special-Issue-BITS-2022

Data processing procedure described in the article submitted to JBI Special Issue

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tr7200/CBNN_SEM_loss_convergence

Code accompanying my 2021 ASA SDSS paper

Language: Python - Size: 665 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 2

TheoLvs/causal-reinforcement-learning

Experiments on Causality & Reinforcement Learning

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Ariel-Flint-Ashery/Causal-DAGs

Investigation of network geometry and percolation in directed acyclic graphs (MSci Thesis). Maintained by Ariel Flint Ashery and Kevin Teo. Supervisor: Timothy Evans

Language: Python - Size: 181 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

enveda/RPath

Source code and data for "Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery"

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soluslab/causalCIM

A Python package for learning and using causal networks via discrete geometry

Language: Python - Size: 101 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

csquires/dci

Code and figures for the Differential Causal Inference (DCI) algorithm

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druglogics/cascade

CASCADE - CAncer Signaling CAusality DatabasE

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frankaging/ReaSCAN-Causal

Causal Abstraction of Neural Models Trained to Solve ReaSCAN

Language: Python - Size: 49.6 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

jamie0725/BNs-Alternative-Representations-Generator

An auto generator of alternative representations for Bayesian Networks.

Language: Python - Size: 2.35 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

drug2ways/results

Applications and validation analyses shown in the manuscript

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lukoshkin/ml2020

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dondealban/ms-conserv-biol-2017

Materials for 2017 Myanmar causal network paper (Lim et al. 2017. Conservation Biology).

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