🤖 An Open Source Texas Hold'em AI

Scalable Implementation of Deep CFR and Single Deep CFR

[Development suspended] An efficient open-source postflop solver library written in Rust

A pytorch tutorial for DRL(Deep Reinforcement Learning)

An attempt at a Python implementation of Pluribus, a No-Limits Hold'em Poker Bot

C implementations of Counterfactual Regret Minimization and Monte Carlo CFR

Omaha Poker functionality some features for PokerRL Reinforcement Learning card framwork

Play, learn, solve, and analyze No-Limit Texas Hold Em. Implementation follows from Monte Carlo counter-factual regret minimization over with hierarchical K-means imperfect recall abstractions.

Implementation of counterfactual regret minimization (CFR) for Texas hold'em poker

cfrx is a collection of algorithms and tools for hardware-accelerated Counterfactual Regret Minimization (CFR) algorithms in Jax.

Counterfactual Regret Minimization

Counterfactual Regret Minimization for a simplified version of Texas Hold'em poker

Implementation of Pluribus by Noam Brown & Tuomas Sandholm, introduced in the paper "Superhuman AI for multiplayer poker".

A poker solver written in rust

A Django webapp that allows you to play against an AI at the game of heads-up limit Texas Hold'em.

Counterfactual Regret Minimization Game solution methods for Julia

CFR repo written with exectution time in mind using C. Repo contains implementations of different CFR variants that can be used with different imperfect information games.

A python implementaion of Counterfactual Regret Minimization using numba

Setback card game. (Also called Auction Pitch.)