Showing 4 open source projects for "simple queue system"

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    Free and Open Source HR Software

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  • 1
    Poetiq

    Poetiq

    Reproduction of Poetiq's record-breaking submission to the ARC-AGI-1

    poetiq-arc-agi-solver is the open-source codebase from Poetiq that replicates their record-breaking submission to the challenging benchmark suite ARC-AGI (both ARC-AGI-1 and ARC-AGI-2). The project demonstrates a system that orchestrates large language models (LLMs) — like those from major providers — with carefully engineered prompting, reasoning workflows, and dynamic strategies, to tackle the abstract, logic-heavy problems in ARC-AGI. Instead of relying on a single prompt or fixed...
    Downloads: 5 This Week
    Last Update:
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  • 2
    ChatGPT Clone

    ChatGPT Clone

    ChatGPT interface with better UI

    ...Configuration is kept simple so newcomers can get a working chat in minutes and then dial in features like authentication or multi-model routing. While it illustrates how to hook into third-party LLM endpoints, it is typically positioned as an educational, self-hosted starter that you should operate responsibly and within provider's terms of use.
    Downloads: 4 This Week
    Last Update:
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  • 3
    GPT Discord Bot

    GPT Discord Bot

    Example Discord bot written in Python that uses the completions API

    ...The bot uses the Chat Completions API (defaulting to gpt-3.5-turbo) to carry out conversational interactions and the Moderations API to filter user messages. It is built on top of the discord.py framework and the OpenAI Python library, providing a simple, extensible template for building AI-powered Discord applications. The bot supports a /chat command that spawns a public thread, carries full conversation context across messages, and gracefully closes the thread when context or message limits are reached. Developers can customize system instructions through a config file and modify the model used for responses. ...
    Downloads: 0 This Week
    Last Update:
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  • 4
    PyTorch-BigGraph

    PyTorch-BigGraph

    Generate embeddings from large-scale graph-structured data

    PyTorch-BigGraph (PBG) is a system for learning embeddings on massive graphs—think billions of nodes and edges—using partitioning and distributed training to keep memory and compute tractable. It shards entities into partitions and buckets edges so that each training pass only touches a small slice of parameters, which drastically reduces peak RAM and enables horizontal scaling across machines. PBG supports multi-relation graphs (knowledge graphs) with relation-specific scoring functions,...
    Downloads: 0 This Week
    Last Update:
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    The All-In-One Google Workspace Management Tool for IT Admins

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