3 projects for "compute" with 2 filters applied:

  • Compliant and Reliable File Transfers Backed by Top Security Certifications Icon
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    Cerberus FTP Server delivers SOC 2 Type II certified security and FIPS 140-2 validated encryption.

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  • Application Monitoring That Won't Slow Your App Down Icon
    Application Monitoring That Won't Slow Your App Down

    AppSignal's Rust-based agent is lightweight and stable. Already running in thousands of production apps.

    Full APM with errors, performance, logs, and uptime monitoring. 99.999% uptime SLA on the platform itself.
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  • 1
    Protenix

    Protenix

    A trainable PyTorch reproduction of AlphaFold 3

    ...PDB/CIF) into full 3D atomic-level structure predictions. It supports both “full” models and lightweight variants such as “Protenix-Mini,” offering a trade-off between speed/compute cost and predictive accuracy — making structure prediction accessible even in resource-constrained environments. The project also includes support for constraints (e.g., specifying residue- or atom-level contact constraints, or pocket constraints) to guide predictions toward biologically or experimentally relevant conformations, which enhances its utility for tasks like modeling complexes, ligands, or antibody–antigen interactions.
    Downloads: 10 This Week
    Last Update:
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  • 2
    Cactus

    Cactus

    Low-latency AI inference engine optimized for mobile devices

    ...It supports a wide range of AI tasks including text generation, speech-to-text, vision processing, and retrieval-augmented workflows through a unified API interface. A notable feature of Cactus is its hybrid execution model, which can dynamically route tasks between on-device processing and cloud services when additional compute is required.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 3
    MACE

    MACE

    Deep learning inference framework optimized for mobile platforms

    Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster.
    Downloads: 0 This Week
    Last Update:
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