Normalize VAE-decoded image datasets for training AI artifact detection models with formal verification guarantees and RSR (Rhodium Standard Repository) compliance.
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Updated
Apr 4, 2026 - Julia
Normalize VAE-decoded image datasets for training AI artifact detection models with formal verification guarantees and RSR (Rhodium Standard Repository) compliance.
Project Wharf approaches Content Management System (CMS) security that separates administration from runtime. Instead of plugins with full system access running on your live site, Wharf uses an offline controller (the Wharf) and read-only runtime (the Yacht) connected via a Zero Trust mesh network.
IPFS nodes in Kubernetes with ZeroTier overlay network
RPA paradise - robotic process automation toolkit
Organization-wide standards and specifications
Robot dog enterprise content management
Making web accessibility a search engine ranking factor
SaltStack to Ansible + Terraform migration — local infrastructure management for Fedora Silverblue
A puzzle game where solutions are cryptographically verified - prove your work, literally.
Federated, multi-language package manager with formal verification and trust pipeline.
Ada TUI for managing rclone cloud mount configurations with rate limiting and SDP security
Asymmetric camera multiplayer game system (Elixir + Rust)
Configuration Flow Orchestrator - intelligently orchestrate CUE, Nickel, and validation workflows
HPC document extraction engine — Chapel + Zig FFI pipeline for OCR, NER, metadata extraction, and classification
Civic engagement platform and government API integration
Cross-platform system tools for everyday users - trustworthy help without fearware
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