Showing 4 open source projects for "readme"

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    OpenAI Realtime Embedded

    OpenAI Realtime Embedded

    Instructions on how to use the Realtime API on Microcontrollers

    ...The repo includes pointers to an ESP32 implementation (maintained as esp32 branch) and documentation that Espressif offers an official example in openai_demo. It does not appear to include a full cross-platform embedded SDK in the main branch (the core content is mostly links and minimal README), but acts as a launching point for integrating realtime on microcontrollers.
    Downloads: 0 This Week
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  • 2
    Stable Diffusion Version 2

    Stable Diffusion Version 2

    High-Resolution Image Synthesis with Latent Diffusion Models

    ...The project sits within a larger ecosystem of Stability AI repositories (including inference-only reference implementations like SD3.5 and web UI projects) and the README points users toward compatible components, recommended CUDA/PyTorch versions.
    Downloads: 4 This Week
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  • 3
    Open Infra Index

    Open Infra Index

    Production-tested AI infrastructure tools

    ...Instead of a single monolithic codebase, it functions more like an index or launching point: linking and documenting a set of library repos (e.g. FlashMLA, DeepEP, DeepGEMM, 3FS, etc.) that together form DeepSeek’s infrastructure stack. The repo's README describes the project as sharing “humble building blocks” of their online service—code that is documented, deployed, and battle-tested in production. The timing of its opening matches DeepSeek’s “Open-Source Week” campaign (starting around February 2025) when they gradually released internal infrastructure components publicly. It is licensed under CC0-1.0 (Creative Commons Zero) to maximize openness.
    Downloads: 0 This Week
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  • 4
    Profile Data

    Profile Data

    Analyze computation-communication overlap in V3/R1

    ...The idea is to bring transparency to internal efficiency tradeoffs, enabling researchers to reproduce, analyze, or improve on DeepSeek’s parallelism strategies. The README explains how trace data corresponds to forward/backward chunks, settings (e.g. EP64, TP1, 4K sequence length), and notes that pipeline communication is excluded for simplicity.
    Downloads: 0 This Week
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