cfr

A Java 8+ Jar & Android APK Reverse Engineering Suite (Decompiler, Editor, Debugger & More)

GPU-accelerated GTO poker solver · CPU fallback · 2550+ preflop charts · Trilingual UI · Windows desktop

Scalable Implementation of Deep CFR and Single Deep CFR

Scan for secrets, endpoints, and other sensitive data after decompiling and deobfuscating Android files. (.apk, .xapk, .dex, .jar, .class, .smali, .zip, .aar, .arsc, .aab, .jadx.kts).

A multi-decompiler standalone desktop GUI supporting JD-Core V0 & V1, CFR, Procyon, Fernflower, Vineflower & Jadx

Everything you could wish for in a library called RoboPoker. Full suite of data structures, algorithms, solvers, ML models, and more.

rs-poker is a rust library that includes all of the poker evaluation tools that you need from hand ranking and starting card enumeration to a full agent arena for self learning.

A Docker image with four popular Java decompilers in one place (CFR, Fernflower, Krakatau, and Procyon) 🚀🔨

Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork

A curated list of AI poker resources: research papers, open-source tools, bots, solvers, and strategy guides

GTOpen — open-source GTO poker solver: heads-up postflop CFR (CPU/CUDA), multiway Preflop Lab with limps & any sizings, player profiling & max-exploitation. Rust + zero-install web UI.

德州AI源码与CFR扑克研究：C++/Python、HUNL、自我博弈、反事实价值、策略训练与离线评估。Texas Holdem Poker AI source code.

java class反编译mcp server

HUNL德州扑克AI源码：CFR子博弈、ReBeL递归求解、反事实价值网络、自博弈与C++蒙特卡洛 | Texas Hold'em AI research

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

德州AI源码与CFR算法引擎：C/C++德州扑克机器人，包含自我博弈、强化学习、牌力评估与实时决策 | Texas Hold'em AI source code and CFR poker bot

ECD++ - Fork of Enhanced Class Decompiler - integrate modern Java decompilers seamlessly into the development workflow

A multi-decompiler MCP server and CLI toolkit for Java, supporting JD-Core v0 & v1, CFR, Procyon, Fernflower, Vineflower & JADX.

This repository is the accompanying code for the paper CFVFP. This paper presents a new algorithm for solving incomplete information games - CFVFP, which has better results than MCCFR in some games. The paper has been accepted by NeurIPS 2024.