🧠 Run over 15 causal discovery algorithms locally with Causal App, an easy-to-use tool built on Streamlit for effective causal analysis.
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Updated
Oct 5, 2026 - Python
🧠 Run over 15 causal discovery algorithms locally with Causal App, an easy-to-use tool built on Streamlit for effective causal analysis.
Causal inference and causal discovery for Go: Granger causality, PC-stable and DirectLiNGAM structure learning in pure standard library - zero dependencies, CGO-free, deterministic.
Causal and neuro-symbolic AI for intelligent environments — Theme D PhD portfolio
Lightweight PC algorithm for causal skeleton discovery — pip + CLI + graph viz
10. Grafovi zavisnosti co-occurrence graph, correlation graph, MI graph, Bayesian network, Markov network, PC algorithm, FCI, GES, NOTEARS, LiNGAM, ICA-LiNGAM, Louvain/Leiden communities, modularity, PageRank, betweenness/closeness/eigenvector centrality, motif/subgraph mining, graphlet
End-to-end framework for discovering interpretable dependency structure in equity markets using graphical models. Implements Graphical Lasso, nonparanormal models, the PC algorithm, and VAR(1) Granger causality, with automated data ingestion, stability selection, and visualizations.
Interactive Streamlit app that runs over 15 causal discovery algorithms with method recommendation and bootstrap confidence graphs.
An advanced computational biology project aimed at analyzing causal networks of space-induced neurodegeneration in mice using NASA's OSD-352 dataset and PC algorithm; Ultimately mapping findings to human genes for insights into neurodegenerative diseases and space health.
Causal discovery made easy.
Implement PC algorithm in Python | PC 算法的 Python 实现
A Python implementation of the PC algorithm.
cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU
A load-balanced, lock-free implementation of the PC-algorithm for causal inference from high-dimensional data.
Codes for "Part mutual information for quantifying direct associations in networks"
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