Using Large Language Models to analyse neural circuit data, especially connectomics data

A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.

Connect RStudio to Claude Code, Codex, Gemini, and other LLM agents via MCP. Multi-agent orchestration, automated manuscript auditing, and zero-config setup with uvx

an attempt to formalize and study relationships on generative models

Quarto website

LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.

My blog, built with blogdown and Hugo 🔗

Scrape and Visualize Orca Sighting Data

Local models support for Microsoft's graphrag using ollama (llama3, mistral, gemma2 phi3)- LLM & Embedding extraction

Code Snippets from Positron IDE (Public Beta) Videos

Example project demonstrating how to implement GraphRAG

무료로 한국어🇰🇷 파인튜닝 모델 받아서 로컬 LLM 호스팅. LangServe, Ollama, streamlit + RAG

Minimal R wrapper for llama.cpp

Supplementary materials for the manuscript "Clustering of longitudinal data: A tutorial on a variety of approaches" by N. G. P. Den Teuling, S.C. Pauws, and E.R. van den Heuvel (2021)

Python package for graph statistics

An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces (Findings of EMNLP 2021)

R Package for 2D and 3D mapping and data visualization