cfr

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).

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

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.

Several agents that can play poker (using probability, monte carlo, etc.) and clustering to get the types of poker players.

MIT-licensed two-tier (Python + Rust via maturin) HUNL Texas Hold'em GTO solver. Tabular DCFR with vector-form CFR for true range Nash; preflop push/fold + postflop tree solving; aggregator vs Nash range-vs-range APIs; NiceGUI GUI + macOS .dmg + CLI. Card abstraction 256/128/64 (flop/turn/river); diff-tested vs Brown's MIT reference.

这是一个基于 Python 的 MCP (Model Context Protocol) 服务器实现，封装了 `cfr.jar` 反编译功能，并支持 SSE (Server-Sent Events) 传输协议。

To make a constant frame rate MP4 video into a variable frame rate.

A Python research framework for CFR-based poker solving with GPU-assisted leaf evaluation and future real-time re-solving.

Counterfactual regret minimization and Q-Learning for Blackjack and Hearts

A not-so-dumb poker game-theory lab using CFR and CFR+.

Multi-variant rummy simulator + evaluation framework for card-game AI (heuristic / RL / CFR / LLM / GNN / hybrid). See PAPER.md for the research programme.

Solving Imperfect Information Games: Multiplayer Poker AI

Imperfect-information game solving: from Kuhn to NLHE — a constructive complexity analysis

Python implementation of Corrected Fisher Randomization (CFR)

A Python implementation of Counterfactual Regret Minimization (CFR).

MCP server for live U.S. federal regulations — Federal Register, eCFR, Regulations.gov. Works with any LLM (Claude, GPT-4o, Gemini, Mistral, Llama, Ollama).

Turn any CFR section into a structured compliance checklist. Rule-based + optional LLM. CLI + MCP server.

Robust ML as an imperfect-information extensive-form game — CFR/Double Oracle/Stackelberg LP equilibria over 6 defenders × 7 attacks with minimax guarantees. DS606, IIT Bombay.