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

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 Scan for CVEs, find outdated packages, reclaim disk space.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.

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

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.

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

An Amazon SageMaker Container for Hugging Face Inference on Graviton and Intel CPUs

Deep Learning demos with different frameworks (2016-2020)

A lot of AWS demos! (2015-2020)

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

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

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.

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

Apache MXNet deep learning demos (2016-2017)

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.

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

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

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

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

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

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

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

Personal website hosted at julien.org

Homebrew tap for Canopy

Companion code for the 'TurboQuant on Apple Metal' video — KV-cache-quantization benchmarks on MLX (Apple Silicon).

Homebrew tap for Cache Commander (ccmd)

TypeScript client library and CLI for the Starlink dish local gRPC API

Run LLMs with MLX

Visual BPMN diagram editor built with React, TypeScript, and bpmn-js

Run Generative AI models with simple C++/Python API and using OpenVINO Runtime

Arm Learning Paths: a repository of how-to content for software developers

No description.

Developer resources to work with Arcee models on AWS

A comprehensive collection of generic data structures implemented in C. This library provides efficient implementations of common data structures with a consistent API.

A comprehensive collection of practical demos and tutorials showcasing various Hugging Face technologies, optimization techniques, and deployment strategies for machine learning models.

Various sort and search algorithms for generic lists, implemented in Java.

A Java-based project demonstrating Amazon Machine Learning (Amazon ML)

Learn Amazon SageMaker - Second Edition, published by Packt

Learn Amazon SageMaker

A comprehensive Java library implementing fundamental graph data structures and algorithms

A comprehensive collection of Amazon SageMaker Studio demonstrations, including the SageMaker Fridays demos

Hands-on workshop materials from AWS DevDays 2020

A comprehensive toolkit for automating Amazon SageMaker workflows, including infrastructure provisioning, model training, deployment, and cleanup operations.

A comprehensive collection of demos and examples for running Deep Learning workloads on AWS using Deep Learning AMIs and Deep Learning Containers across different AWS compute services

AWS re:Invent workshops I led (2018-2019)

Public repo for HF blog posts

A professional command-line tool to collect comprehensive statistics for Hugging Face organizations, including models, datasets, and spaces with download counts and engagement metrics.

A FastAPI-based proxy service that provides a unified API interface for Amazon SageMaker endpoints.

Tools for merging pretrained large language models.