stumacd/embedded-practice
Brush up on embedded C
Public GitHub Catalog
Discovered Nov 3, 2026
stumacd / simple-heathstone-ai-monte-carlo-tree-search
A simple implementation of the game Hearthstone with a Monte Carlo Tree Search acting as an AI agent for both players.
About this discovery
Public repository record indexed from GitHub. Explore verified star velocity metrics, source code repositories, and curated developer tool directories across the GitHubRepo ecosystem.
#52908237GitHub System ID
stumacdOrganization / User
PublicVisibility
ActiveCatalog Status
More from stumacd
stumacd/GoLLRB
A Left-Leaning Red-Black (LLRB) implementation of balanced binary search trees for Google Go
stumacd/hearthstone-pack-opening-simulator
Calculates how many packs you need to open to get a complete non golden card collection for each expansion.
stumacd/azspcs-factorials
Al Zimmerman's Programming Contest - Factorials