Showing 12 open source projects for "interactive games"

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  • 1
    Amazing-Python-Scripts

    Amazing-Python-Scripts

    Curated collection of Amazing Python scripts

    ...The repository encourages community contributions, allowing developers to add their own scripts and improve existing ones through pull requests. Examples include scripts for sentiment analysis, data scraping, web automation, log analysis, and interactive applications such as games or voice-controlled tools. The project also provides contribution guidelines and documentation so that developers can easily collaborate and expand the collection of scripts.
    Downloads: 5 This Week
    Last Update:
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  • 2
    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: 3 This Week
    Last Update:
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  • 3
    Chatterbox

    Chatterbox

    SoTA open-source TTS

    ...It delivers reliable performance with ultra-low latency of sub-200ms—ideal for production use in agents, applications, or interactive media.
    Downloads: 41 This Week
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  • 4
    Atropos

    Atropos

    Language Model Reinforcement Learning Environments frameworks

    ...Designed as a scalable ecosystem of environment microservices, Atropos allows researchers and developers to collect, evaluate, and manage trajectories (sequences of actions and outcomes) generated by LLMs across a variety of tasks—from static dataset benchmarks to dynamic interactive games and real-world scenario environments. It provides foundational tooling for asynchronous RL loops where environment services communicate with trainers and inference engines, enabling complex workflow orchestration in distributed and parallel setups. This framework facilitates experimentation with RLHF (Reinforcement Learning from Human Feedback), RLAIF, or multi-turn training approaches by abstracting environment logic, scoring, and logging into reusable components.
    Downloads: 0 This Week
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  • 5
    Fun Audio Chat

    Fun Audio Chat

    Large Audio Language Model built for natural interactions

    ...The system supports dynamic audio input and output, meaning it can handle different voices, tones, and conversational contexts without forcing users into typed interactions. With real-time streaming, it minimizes latency and delivers responses quickly, making it suitable for applications where responsiveness matters, such as interactive demos, accessibility tools, and conversational games.
    Downloads: 0 This Week
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  • 6
    LTX-2

    LTX-2

    Python inference and LoRA trainer package for the LTX-2 audio–video

    ...Beyond basic rendering scaffolding, LTX-2 includes optimized math libraries, resource loaders, utilities for texture and buffer handling, and integration points for native event loops and input systems. The framework targets both interactive graphical applications and media-rich experiences, making it a solid foundation for games, creative tools, or visualization systems that demand both performance and flexibility. While being low-level, it also provides sensible defaults and helper abstractions that reduce boilerplate and help teams maintain clear, maintainable code.
    Downloads: 9 This Week
    Last Update:
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  • 7
    Open Vision Agents by Stream

    Open Vision Agents by Stream

    Build Vision Agents quickly with any model or video provider

    ...The project includes SDKs for React, Android, iOS, Flutter, React Native, and Unity, enabling integration into a wide variety of client environments such as mobile apps, web apps, and games.
    Downloads: 0 This Week
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  • 8
    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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  • 9
    WorldGen

    WorldGen

    Generate Any 3D Scene in Seconds

    WorldGen is an AI model and library that can generate full 3D scenes in a matter of seconds from either text prompts or reference images. It is designed to create interactive environments suitable for games, simulations, robotics research, and virtual reality, rather than just static 3D assets. The core idea is that you describe a world in natural language and WorldGen produces a navigable 3D scene that you can freely explore in 360 degrees, with loop closure so that the space remains consistent as you move around. ...
    Downloads: 0 This Week
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  • 10
    Talking Head Anime from a Single Image

    Talking Head Anime from a Single Image

    Demo for the "Talking Head Anime from a Single Image"

    Talking Head Anime from a Single Image is a machine learning project that demonstrates how neural networks can animate anime characters using only a single input image. The system generates animated facial expressions and movements by applying pose transformations to a static image of an anime character. The underlying model uses deep learning techniques to predict how different facial features and body parts should move based on pose parameters or input signals. This allows the software to...
    Downloads: 2 This Week
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  • 11

    Bamboo Engine

    Game framework on top of Python, Panda3D and Twisted

    Bamboo intends to be a complete end-to-end game framework for client/server applications using Twisted for data exchange, Panda3D for rendering and coded in Python. Support for PyPy/CPython may be considered at a later point. An Extreme/Agile Development model is in use to allow for emergent design (IE: changing requirements). Release is updated whenever a feature is added and all tests pass cleanly 100%
    Downloads: 0 This Week
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  • 12
    AKIRA aims to create a C++ development framework to build cognitive architectures and complex artificial intelligent agents.Features:KQML,Fuzzy Logic,Neural Net,Fuzzy Cognitive Maps and DIPRA (a distributed BDI - Belief Desire Intention goals model)
    Downloads: 9 This Week
    Last Update:
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