Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

Implementation of the Louvain and Leiden community detection algorithms.

MiCV is a python dash-based web-application that enables researchers to upload raw scRNA-seq data and perform filtering, analysis, and manual annotation.

Fast single-cell and spatial transcriptomics in Rust. 24x faster than Scanpy on compute-bound steps.

Leiden community detection algorithm in graphs

A LaTeX template for PhD theses

An implementation of Hierarchical Incremental Tree Leiden Community Detection - https://arxiv.org/abs/2601.08554

This research focuses on group detection and collaboration analysis among GitHub developers. It builds a commit-based collaboration network, where nodes represent developers and edges indicate joint contributions to repositories.

WIKI: https://github.com/SqueezyDough/functional-programming/wiki/Functional-programming

FilWordNet web portal — a language resource for Filipino and Philippine English built from text analysis network science and natural language processing

Community detection evaluation across 7+ benchmark datasets with Louvain, Leiden, and Infomap

SF 311 latent cluster atlas — photos → captions → embeddings → Leiden + UMAP, plus embedding-matched causal estimates of neighborhood-level response delays

Scalable ensemble clustering

OpenAlex-based bibliometric analysis toolkit with MNCS, PP top-percentile indicators, citation networks, entity enrichment, topic modelling, and reproducible exports.

Analysis of co-author networks in Data Science using OpenAlex data, applying Louvain, Leiden, and Fast Greedy algorithms to detect research collaboration communities. (Phân tích mạng đồng tác giả trong lĩnh vực Data Science từ OpenAlex, áp dụng Louvain, Leiden và Fast Greedy để phát hiện cộng đồng nghiên cứu.)

Basic scRNA-seq preprocessing and clustering using Scanpy on bone marrow mononuclear cells from healthy donors

Small scripts for various problems during the SP1 (Statistical Physics 1) course at Leiden University.

A complete single-cell RNA-seq analysis pipeline using Scanpy on 10x Genomics PBMC data, including clustering, UMAP visualization, and marker gene detection.

The Great Bitwise Bake Off_Trent: Evolutionary Algorithm that creates novel and unexcpected cookie recipes