Run VM disk images using Podman / Docker / Kubernetes.

FYSETC Kit - Prusa MK3S clone Kit

Machine learning tool-set for Paperspace VMs

Live web apps in C# — server-rendered over WebSocket or client-side via WebAssembly, one codebase. No .razor, no JS.

Self-hosted AI workspace.

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

Lifecycle Management for Agent Skills

ROCm Library Files for gfx1103 and update with others arches based on AMD GPUs for use in Windows.

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

Drive the full lifecycle of AI-assisted development — from idea to shipped code.

SOMA: Unifying Parametric Human Body Models

A small order-processing system that shows how to author a durable Dapr Workflow as plain C# code (task chaining pattern)

A web-based Kanban board for viewing Claude Code tasks

Hook-based token compressor for 5 AI CLI hosts (Claude Code, Copilot CLI, OpenCode, Gemini CLI, Codex CLI). Up to 95% bash compression, signature-mode for code reads, cross-call dedup, MCP server, …

PosePipe is a human pose estimation (HPE) pipeline to facilitate home movement analysis from videos

Up to 71.5x fewer tokens per session on Claude Code with Obsidian + Graphify. Persistent memory, codebase knowledge graphs, and chat import pipeline. 🇧🇷 PT-BR included.

ASP.NET Core 6 Web API Clean Architecture Solution Template

We write your reusable computer vision tools. 💜

MONAI Versatile Imaging Segmentation and Annotation

Cross-CLI skill for Obsidian: turn your vault into a living AI-first second brain across Claude Code, Codex, Gemini, and OpenCode. 43 commands - now with /obsidian-architect to document your codeba…

Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.

An Obsidian vault that gives AI coding agents persistent memory. Claude Code, Codex CLI, Gemini CLI.

Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.

Skills for Real Engineers. Straight from my .claude directory.

OpenMMLab Pose Estimation Toolbox and Benchmark.

This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Secure, Fast, and Extensible Sandbox runtime for AI agents.