Showing 4 open source projects for "gpu max performance"

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  • 1
    Fabulously Optimized

    Fabulously Optimized

    A simple Minecraft modpack focusing on performance and graphics

    A simple Minecraft modpack focusing on performance and graphics enhancements. A Minecraft modpack focused on performance, providing a smooth experience with multiple optimization mods.
    Downloads: 25 This Week
    Last Update:
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  • 2
    Diplomacy Cicero

    Diplomacy Cicero

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

    ...It supports two variants: Cicero (which handles full “press” negotiation) and Diplodocus (a variant focused on no-press diplomacy) as described in the README. 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: 0 This Week
    Last Update:
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  • 3
    Shopne-Arcade

    Shopne-Arcade

    A frontend for GnGeo emulator written purely in Python

    Shopne Arcade is a front-end application designed to easily play Neo Geo system games on PC. It's interface is compatible for screens with low resolution such as 640x480 pixels. It lets users play Neo Geo system games from one interface where users will be able pick different game play experience settings such as Neo Geo games video resolutions, audio sampling rates, etc. Shopne Arcade is written in pure Python language without any external dependencies making it portable across various...
    Downloads: 0 This Week
    Last Update:
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  • 4
    AIMi AI Aimbot

    AIMi AI Aimbot

    AIMi its an AI aimbot, it work by real-time object detection

    ...It is built around neural network detection and OpenCV processing rather than direct modification of game files. The project presents itself as a beta implementation, with current behavior depending heavily on processor performance, model accuracy, and screen conditions. It includes a simple object-detector interface so users can see how the system recognizes targets during testing. The repository describes a CPU-heavy version with limited GPU usage and notes plans for faster GPU-oriented improvements. Because it is designed around game targeting behavior, it should only be discussed and used in authorized, accessibility-focused, private, or noncompetitive environments.
    Downloads: 248 This Week
    Last Update:
    See Project
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