Paris

Julien Simon

Elite
@juliensimon

AI Operating Partner, Fortino · Technical Author · OSS Developer

dlnotebooks. Deep Learning demos with different frameworks (2016-2020)

111

canopy. Ship faster with parallel Claude Code sessions — one native macOS window, git worktrees, sandboxes, auto-resume, merge & finish, token dashboard.

102

aws. A lot of AWS demos! (2015-2020)

89

cache-commander. Cache Commander — a TUI and MCP server to explore, audit, and clean developer cache directories. Scan for CVEs, find outdated packages, reclaim disk space. Supports pip, npm, Cargo, HuggingFace, Homebrew, and more.

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apollo11-ai-walkthrough. AI-generated technical walkthrough of the Apollo 11 Guidance Computer flight software (Luminary099)

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starlink-viz. Real-time 3D Starlink satellite tracker with Space view, Sky view, live dish telemetry, SGP4 propagation, and ISL routing. Track ~10,000 satellites, ground stations, handoffs, and network performance — built with Next.js and Three.js.

23

ocel-generator. Generate realistic multi-agent workflow traces with LLM-enriched content, semantic validation, and PM4Py compatibility. pip install open-agent-traces

16

my-aws-talks-2015-2021. My collection of 300+ AWS presentations and talks from my time as a Technical Evangelist at Amazon Web Services (2015-2021)

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browser-games. Classic arcade games recreated in the browser with vanilla JavaScript and HTML5 Canvas

13

sagemaker-inference-container-cpu. An Amazon SageMaker Container for Hugging Face Inference on Graviton and Intel CPUs

11

johnnypi. Code for the Johnny Pi IoT robot posts on Medium (2017)

9

space-datasets. 200+ auto-updated space, astronomy & physics datasets on Hugging Face (NASA, NOAA, ESA, JPL, SpaceX, Wikidata). Satellites, asteroids, space probes (Voyager, Cassini, Mars), space weather, exoplanets, pulsars, radio/X-ray surveys, cosmic rays, particle physics, and more. Parquet format, no API keys.

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mxnetworkshop. Apache MXNet deep learning demos (2016-2017)

6

smolagents-mcp-demo. A comprehensive demonstration of Model Context Protocol (MCP) servers and clients, showcasing AI-powered tools and multi-agent systems for code analysis, security scanning, and intelligent automation.

5

arcee-demos. A collection of demos, examples, and tools for using Arcee AI models and services across various platforms and use cases.

2

radar-evaluator. A professional, extensible framework for evaluating and comparing Large Language Models (LLMs) across different industry domains using automated scoring, radar charts, and comprehensive reporting.

2

gradio-mcp-server-builder. A CLI tool to create MCP (Model Context Protocol) servers with Gradio web interfaces from your existing Python functions. Focus on your core functionality, not on boilerplate code

2

local-rag-chatbot. RAG-powered document Q&A using local LLM with llama.cpp

2

memory-benchmarks. Comprehensive memory bandwidth benchmark tool with platform-specific optimizations for Linux and macOS

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work-history. Legacy work artifacts from Julien Simon's engineering studies and professional experience

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ai-inference-tco-calculator. AI Inference TCO Calculator — compare API vs self-hosted GPU vs local/edge inference costs

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