Showing 59 open source projects for "python card game"

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    Empower Your Contact Center with Human-Like AI Conversations

    Deliver faster resolutions, lower costs, and better CX without hiring another agent.

    Enterprise Bot, based in Switzerland, is a pioneer in Conversational AI, Process Automation, and Generative AI. With the trust of esteemed enterprise giants across industries like Generali, SIX, SBB, DHL, and SWICA, Enterprise Bot is revolutionizing both customer and employee experiences. Through its advanced integration with Large Language Models (LLM) such as ChatGPT and Llama 2, and its unique patent-pending DocBrain technology, the company delivers unparalleled personalization, active engagement, and omnichannel solutions across platforms like email, voice, and chat. Furthermore, Enterprise Bot integrates with existing core systems, such as SAP, CRMs, Confluence and more, and with its proprietary middleware, Blitzico, enables the AI to not only respond to queries but also take action to resolve them. This dedication to innovation in four main use case areas, Customer Support, Sales and Marketing, Knowledge Management and Digital Coworker, elevates both CX and employee productivity.
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    Self-hosted password manager

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  • 1
    KaTrain

    KaTrain

    Improve your Baduk skills by training with KataGo

    KaTrain is an advanced training and analysis tool for the board game Go that leverages the powerful KataGo AI engine to provide real-time feedback and in-depth game review capabilities. It is designed to help players of all skill levels improve by identifying mistakes, analyzing move efficiency, and offering alternative strategies based on AI evaluation. The application allows users to play against AI opponents with adjustable difficulty, including intentionally weakened versions of the...
    Downloads: 65 This Week
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  • 2
    NBA Sports Betting Machine Learning

    NBA Sports Betting Machine Learning

    NBA sports betting using machine learning

    NBA-Machine-Learning-Sports-Betting is an open-source Python project that applies machine learning techniques to predict outcomes of National Basketball Association games for analytical and betting-related research. The system gathers historical team statistics and game data spanning multiple seasons, beginning with the 2007–2008 NBA season and continuing through the present. Using this dataset, the project constructs matchup features that represent team performance trends and contextual information about each game.
    Downloads: 2 This Week
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  • 3
    InvokeAI

    InvokeAI

    InvokeAI is a leading creative engine for Stable Diffusion models

    InvokeAI is an implementation of Stable Diffusion, the open source text-to-image and image-to-image generator. It provides a streamlined process with various new features and options to aid the image generation process. It runs on Windows, Mac and Linux machines, and runs on GPU cards with as little as 4 GB or RAM. InvokeAI is a leading creative engine built to empower professionals and enthusiasts alike. Generate and create stunning visual media using the latest AI-driven technologies....
    Downloads: 17 This Week
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  • 4
    TextWorld

    TextWorld

    ​TextWorld is a sandbox learning environment for the training

    TextWorld is a learning environment designed to train reinforcement learning agents to play text-based games, where actions and observations are entirely in natural language. Developed by Microsoft Research, TextWorld focuses on language understanding, planning, and interaction in complex, narrative-driven environments. It generates games procedurally, enabling scalable testing of agents’ natural language processing and decision-making abilities.
    Downloads: 6 This Week
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  • No-code email and landing page creation Icon
    No-code email and landing page creation

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    Built for speed and collaboration, Knak streamlines campaign production with modular templates, real-time editing, simple collaboration, and seamless integrations with leading MAPs like Adobe Marketo Engage, Salesforce Marketing Cloud, Oracle Eloqua, and more. Whether you're supporting global teams or launching fast-turn campaigns, Knak helps you go from brief to build in minutes—not weeks. Say goodbye to bottlenecks and hello to marketing agility.
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  • 5
    Godot RL Agents

    Godot RL Agents

    An Open Source package that allows video game creators

    godot_rl_agents is a reinforcement learning integration for the Godot game engine. It allows AI agents to learn how to interact with and play Godot-based games using RL algorithms. The toolkit bridges Godot with Python-based RL libraries like Stable-Baselines3, making it possible to create complex and visually rich RL environments natively in Godot.
    Downloads: 0 This Week
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  • 6
    LLM Colosseum

    LLM Colosseum

    Benchmark LLMs by fighting in Street Fighter 3

    LLM-Colosseum is an experimental benchmarking framework designed to evaluate the capabilities of large language models through gameplay interactions rather than traditional text-based benchmarks. The system places language models inside the environment of the classic video game Street Fighter III, where they must interpret the game state and decide which actions to perform during combat. This setup creates a dynamic environment that tests reasoning, situational awareness, and decision-making...
    Downloads: 4 This Week
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  • 7
    Diplomacy Cicero

    Diplomacy Cicero

    Code for Cicero, an AI agent that plays the game of Diplomacy

    ...The codebase is implemented primarily in Python with performance-critical components in C++ (via pybind11 bindings) and is configured to run in a high‐GPU cluster environment. Configuration is managed via protobuf files to define tasks such as self-play, benchmark agent comparisons, and RL training. The project is now archived and read-only, reflecting that it is no longer actively developed but remains publicly available for research use.
    Downloads: 2 This Week
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  • 8
    SHAP

    SHAP

    A game theoretic approach to explain the output of ml models

    SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local explanations using the classic Shapley values from game theory and their related extensions. While SHAP can explain the output of any machine learning model, we have developed a high-speed exact algorithm for tree ensemble methods. Fast C++ implementations are supported for XGBoost, LightGBM, CatBoost, scikit-learn and pyspark...
    Downloads: 7 This Week
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  • 9
    Sunfish

    Sunfish

    Sunfish: a Python Chess Engine in 111 lines of code

    ...The project is often used as an educational tool for understanding game AI, search algorithms, and evaluation functions without the complexity of larger engines. It includes a simple UCI-compatible interface, allowing it to be integrated with graphical chess interfaces or used in terminal-based gameplay. The codebase is intentionally minimal, making it ideal for experimentation, modification, and learning purposes.
    Downloads: 8 This Week
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  • Ditto Edge Server is a lightweight standalone server for resource-constrained edge environments, based on the core Ditto Edge SDK. Icon
    Ditto Edge Server is a lightweight standalone server for resource-constrained edge environments, based on the core Ditto Edge SDK.

    With Ditto Edge Server, you can join devices as small as a Raspberry Pi to a local mesh network and synchronize data across edge environments.

    Ditto's Edge SDK is the only thing your edge devices need to ensure your application is operational in any environment, regardless of network conditions.
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  • 10
    GalTransl

    GalTransl

    Automated translation solution for visual novels

    GalTransl is an automated translation system specifically designed for visual novels, particularly those in the “galgame” genre, leveraging large language models to streamline and enhance the translation process. It integrates support for multiple advanced LLM providers such as GPT-4, Claude, DeepSeek, and other models, enabling high-quality, context-aware translations that go beyond traditional machine translation approaches. The platform is built to handle the unique structure of visual...
    Downloads: 3 This Week
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  • 11
    HY-World 1.5

    HY-World 1.5

    A Systematic Framework for Interactive World Modeling

    HY-WorldPlay is a Hunyuan AI project focusing on immersive multimodal content generation and interaction within virtual worlds or simulated environments. It aims to empower AI agents with the capability to both understand and generate multimedia content — including text, audio, image, and potentially 3D or game-world elements — enabling lifelike dialogue, environmental interpretations, and responsive world behavior. The platform targets use cases in digital entertainment, game worlds,...
    Downloads: 11 This Week
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  • 12
    UI-TARS

    UI-TARS

    UI-TARS-desktop version that can operate on your local personal device

    UI-TARS is an open-source multimodal “GUI agent” created by ByteDance: a model designed to perceive raw screenshots (or rendered UI frames), reason about what needs to be done, and then perform real interactions with graphical user interfaces (GUIs) — like clicking, typing, navigating menus — across desktop, browser, mobile, or game environments. Rather than relying on rigid, manually scripted UI automation, UI-TARS uses a unified vision-language model (VLM) that integrates perception,...
    Downloads: 6 This Week
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  • 13
    Diffusion for World Modeling

    Diffusion for World Modeling

    Learning agent trained in a diffusion world model

    Diffusion for World Modeling is an experimental reinforcement learning system that trains intelligent agents inside a simulated environment generated by a diffusion-based world model. The project introduces the idea of using diffusion models, commonly used for image generation, to simulate the dynamics of an environment and predict future states based on previous observations and actions. Instead of interacting directly with a real environment, the reinforcement learning agent learns within...
    Downloads: 0 This Week
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  • 14
    MCP for Unity

    MCP for Unity

    AI bridge enabling assistants to control and automate Unity Editor

    Unity MCP is an open source integration that connects AI assistants with the Unity Editor through the Model Context Protocol (MCP). It acts as a bridge that allows language models and AI coding tools to interact directly with a Unity development environment using structured commands and tools. By linking an AI assistant to a running Unity project, the system enables automated operations such as managing project assets, modifying scenes, editing scripts, and performing other development tasks...
    Downloads: 7 This Week
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  • 15
    Oasis

    Oasis

    Inference script for Oasis 500M

    Open-Oasis provides inference code and released weights for Oasis 500M, an interactive world model that generates gameplay frames conditioned on user keyboard input. Instead of rendering a pre-built game world, the system produces the next visual state via a diffusion-transformer approach, effectively “imagining” the world response to your actions in real time. The project focuses on enabling action-conditional frame generation so developers can experiment with interactive, model-generated...
    Downloads: 0 This Week
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  • 16
    DreamCraft3D

    DreamCraft3D

    Official implementation of DreamCraft3D

    DreamCraft3D is DeepSeek’s generative 3D modeling framework / model family that likely extends their earlier 3D efforts (e.g. Shap-E or Point-E style models) with more capability, control, or expression. The name suggests a “dream crafting” metaphor—users probably supply textual or image prompts and generate 3D assets (point clouds, meshes, scenes). The repository includes model code, inference scripts, sample prompts, and possibly dataset preparation pipelines. It may integrate rendering or...
    Downloads: 0 This Week
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  • 17
    SpeakLogPSU
    Python 3.8.10 download: https://www.planeshift.it/Download https://github.com/rhasspy/piper
    Downloads: 0 This Week
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  • 18

    Infinite Sides

    Infinite Craft but in Pyside6 and Python with local LLM

    Infinite Craft but in Pyside6 and Python with local LLM (llama2 & others) using Ollama that also lets you create your own crafting game based on any topic Customize the game any way you like in the settings.
    Downloads: 5 This Week
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  • 19
    QuizSolver

    QuizSolver

    AI-powered quiz solver for Windows. Free to use, easy to set up.

    QuizSolver is a free Windows app that uses AI vision to automatically read and answer quiz questions on your screen. It takes a screenshot, detects the answer buttons, sends the question to an AI model, and clicks the correct answer in seconds. Built-in support for Quizalize and Quipper. A Custom mode is available for other quiz sites, though results may vary. HOW TO SET UP: 1. Download and unzip QuizSolver — no installation needed 2. Get a free API key from Groq at...
    Downloads: 0 This Week
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  • 20
    AI-Aimbot

    AI-Aimbot

    CS2, Valorant, Fortnite, APEX, every game

    AI-Aimbot is a computer vision project that demonstrates how artificial intelligence can be used to automatically identify and target opponents in video games. The system uses an object detection model based on the YOLOv5 architecture to detect human-shaped characters in gameplay screenshots or video frames. Once a target is identified, the program automatically adjusts the player’s aim toward the detected target, effectively automating the aiming process in first-person shooter games. The...
    Downloads: 1,187 This Week
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  • 21
    BIG-bench

    BIG-bench

    Beyond the Imitation Game collaborative benchmark for measuring

    BIG-bench (Beyond the Imitation Game Benchmark) is a large, collaborative benchmark suite designed to probe the capabilities and limitations of large language models across hundreds of diverse tasks. Rather than focusing on a single metric or domain, it aggregates many hand-authored tasks that test reasoning, commonsense, math, linguistics, ethics, and creativity. Tasks are intentionally heterogeneous: some are multiple-choice with exact scoring, others are free-form generation judged by...
    Downloads: 0 This Week
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  • 22
    YYeTsBot

    YYeTsBot

    Renren Film and Television bot, fully connected to Renren resources

    Renren Film and Television bot, fully connected to all Renren Film and television resources without deletion of resources. The database of this site is permanently open source and free. You can directly send the name of the episode you want to watch, and you can choose to share the webpage or link (ed2k and magnet links). When searching for resources, it will be searched according to my predetermined priority (everyone video offline, subtitle man), of course, you can also use commands to...
    Downloads: 1 This Week
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  • 23
    PC_Workman_HCK

    PC_Workman_HCK

    AI-powered PC monitoring that explains. Not shows numbers/spikes.

    PC_Workman is what 680 hours of coding after warehouse shifts looks like. Built on a laptop hitting 94°C, this AI-powered monitoring tool does what Task Manager can't: it understands your system, not just measures it. Features: - Time travel monitoring - debug issues from hours ago - AI diagnostics with HCK_GPT - Custom fan curves with profiles - Floating always-on-top widget - 2D system map - Cross-GPU support (NVIDIA/AMD/Intel) Four complete rebuilds. 29 features killed....
    Downloads: 3 This Week
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  • 24
    ChatArena

    ChatArena

    ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments

    ChatArena is a library that provides multi-agent language game environments and facilitates research about autonomous LLM agents and their social interactions.
    Downloads: 5 This Week
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  • 25
    Shap-E

    Shap-E

    Generate 3D objects conditioned on text or images

    The shap-e repository provides the official code and model release for Shap-E, a conditional generative model designed to produce 3D assets (implicit functions, meshes, neural radiance fields) from text or image prompts. The model is built with a two-stage architecture: first an encoder that maps existing 3D assets into parameterizations of implicit functions, and then a conditional diffusion model trained on those parameterizations to generate new assets. Because it works at the level of...
    Downloads: 4 This Week
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