Showing 3 open source projects for "setup"

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    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

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    PyTorch Natural Language Processing

    PyTorch Natural Language Processing

    Basic Utilities for PyTorch Natural Language Processing (NLP)

    ...With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. For example, check out this example code for training on the Stanford Natural Language Inference (SNLI) Corpus. Now you've setup your pipeline, you may want to ensure that some functions run deterministically. Wrap any code that's random, with fork_rng and you'll be good to go. Now that you've computed your vocabulary, you may want to make use of pre-trained word vectors to set your embeddings.
    Downloads: 0 This Week
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  • 2
    KinectA

    KinectA

    Software for motion tracking (skeletons, objects, hands) via Kinect!

    KinectA is an application for motion tracking via Kinect Sensor – including hand, skeleton and object tracking. This software has been developed for the needs of media artists and designers. It provides a clearly arranged interface with multiple functionalities. The tracked information can be send via OSC to other hard- and software. KinectA is available for Mac and Windows.
    Downloads: 0 This Week
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  • 3
    A landscape viewable outside of a window invites users to participate with the outside environment by actively changing it. A familiar space becomes disorienting when interaction with a familiar setup responds contradictorily to users expectations. This
    Downloads: 0 This Week
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