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Accelerating Science
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Accelerating Science

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  1. AlpineLLM AlpineLLM Public

    A domain-specific language model for alpine storytelling.

    Python 2

  2. DeepGrasp DeepGrasp Public

    DeepGrasp: Modeling digital humans with task-driven learning

    Python

  3. Experimental-PGNNs Experimental-PGNNs Public

    Novel applications of Physics-Guided Neural Networks (PGNN) to solve differential equations for spatial analysis

    Jupyter Notebook 1 2

  4. HOPE-Generator HOPE-Generator Public

    Generator of large-scale naturalistic human-object interactions developed for CS-433 at EPFL.

    HTML 4

  5. SNN-CMS SNN-CMS Public

    Spiking Neural Networks accelerated on the Intel Loihi chips for LHC experiments, at CMS detector. Project of the European Organization for Nuclear Research (CERN) in collaboration with Intel Labs.

    7 4

  6. RangiLyu/nanodet RangiLyu/nanodet Public

    NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

    Python 6.2k 1.1k