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Reinforcement Learning / AI Bots in Card (Poker) Games
RLCard is a toolkit for reinforcement learning research on card games. It includes several popular card games and focuses on learning algorithms for imperfect information games like poker and blackjack.
The aim of our project is to create a multiplayer game that offers gameplay similar to a casino visit. Initially we focus on 6 deck shoe and face up. In the future we plan to add other variations of blackjack and different kinds of gameplay.
This is a YouTube music/video downloader. It allows you to search for videos on YouTube, then download them as either audio or videos, or stream the audio directly from the application. You can also open YouTube URL's for downloading.
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A very simple and text-only version of blackjack. Written in python, with very limited knowledge of the language. It seems to work ok as is. Bug fixes and code improvements to follow in next version.
A python script with a Tkinter GUI that will emulate a shuffled deck of cards being placed onto the table. It will help to practice counting cards for blackjack. You will be able to compare your count with the count of the computer.
Basic blackjack game that supports most features in a game, 5 card trick, aces being 11 or 1. It has a very basic graphic drawing enginr that draws ASCII cards on the terminal. this can be seen in the screenshot. Should work on all linux PCs.
Sabacc is a card game originally from the Star Wars universe. It is similar to Blackjack except it employs a random element where any card may change value at any point during the game. For more information see the website - sabacc.sourceforge.net
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.