padeler/artifacto
A technical blog about anything
A technical blog about anything
My claude code config
Package ComfyUI with comfyUI-MCP into an easy to use docker compose
GNOME Shell extension that shows and renames workspaces in a big centred overlay
basic ollama docker config
Stars for chores
home page
The local-first, agent-native control plane for ComfyUI — MCP server + Claude Code plugin. 108 tools, 29 AI skills (Flux · WAN · LT2.3 · Qwen · Ideogram4 · Krea2). Author & run workflows, edit your live graph in natural language, manage models & custom nodes. Local, LAN, VPS, or Comfy Cloud.
Official code base for LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
simple discord bot based on ollama
2D Human Pose estimation using transformers. Implementation in Pytorch
vimrc
A collection of MCP servers.
Host side python scripts for controlling the bitbox display
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Vue Argon Dashboard for testing
RGB Led matrix for clock/weather/info/animations
A collaboration friendly studio for NeRFs
Python OpenGL viewer
Runs the official Stable Diffusion release in a Docker container.
Photos and sketch toy for Sofi with a touch screen and arduino
RC-Controlled, two wheeled robot in a cartboard box
Git prompt scripts for bash
This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).
Unofficial GoPro API Library for Python - connect to GoPro via WiFi.
Source Files for OpenSCAD
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
Keras version of Realtime Multi-Person Pose Estimation project
OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library
A tutorial on running Keras models in Tensorflow