causal-networks | Topic | Ecosyste.ms: Repos

Topic: "causal-networks"

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: 2 days ago - Pushed at: 11 months ago - Stars: 2,317 - Forks: 263

erdogant/bnlearn

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

Language: Jupyter Notebook - Size: 41.6 MB - Last synced at: 3 days ago - Pushed at: 10 days ago - Stars: 513 - Forks: 49

msuzen/looper

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

Size: 789 KB - Last synced at: 15 days ago - Pushed at: 27 days ago - Stars: 264 - Forks: 33

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 at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 74 - Forks: 7

realrate/Causing

Causing: CAUsal INterpretation using Graphs

Language: Python - Size: 4.67 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 58 - Forks: 9

drug2ways/drug2ways

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

Language: Python - Size: 546 KB - Last synced at: 18 days ago - Pushed at: 11 months ago - Stars: 26 - Forks: 7

tjohnson250/overview_causal_inference

A Brief Overview of Causal Inference (xaringan presentation)

Language: HTML - Size: 26.3 MB - Last synced at: 2 days ago - Pushed at: over 5 years ago - Stars: 20 - Forks: 7

TheoLvs/causal-reinforcement-learning

Experiments on Causality & Reinforcement Learning

Language: Jupyter Notebook - Size: 4.88 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 9 - Forks: 0

csquires/dci

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

Language: Jupyter Notebook - Size: 293 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 8 - 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"

Language: Jupyter Notebook - Size: 3.48 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 3

tr7200/CBNN_SEM_loss_convergence

Code accompanying my 2021 ASA SDSS paper

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

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

serkd/app

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

Size: 10.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

drug2ways/results

Applications and validation analyses shown in the manuscript

Language: Jupyter Notebook - Size: 8.81 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

paulgovan/PRA

Project Risk Analysis

Language: R - Size: 16 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 2 - Forks: 0

JBris/climate-structure-learning-experiments

Structure learning on climate data

Language: Jupyter Notebook - Size: 2.13 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0

schucan/CLD

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

Language: JavaScript - Size: 1.53 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

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

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

frankaging/ReaSCAN-Causal

Causal Abstraction of Neural Models Trained to Solve ReaSCAN

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

druglogics/cascade

CASCADE - CAncer Signaling CAusality DatabasE

Size: 37.1 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

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.

Language: Jupyter Notebook - Size: 5.05 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0