Showing 5 open source projects for "encoding"

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  • 1
    Instant Neural Graphics Primitives

    Instant Neural Graphics Primitives

    Instant neural graphics primitives: lightning fast NeRF and more

    ...The system implements several neural graphics primitives including neural radiance fields, signed distance functions, neural images, and neural volumes. These representations are trained using a compact neural network combined with a multiresolution hash encoding that dramatically accelerates both training and rendering processes. The framework is capable of reconstructing detailed 3D scenes from images and generating realistic views of those scenes in real time. Compared with earlier neural radiance field approaches, instant-ngp significantly reduces training time and computational requirements, enabling models to be trained within seconds or minutes on modern GPUs.
    Downloads: 0 This Week
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    Tiny CUDA Neural Networks

    Tiny CUDA Neural Networks

    Lightning fast C++/CUDA neural network framework

    ...Lower-end cards must reduce the n_neurons parameter or use the CutlassMLP (better compatibility but slower) instead. tiny-cuda-nn comes with a PyTorch extension that allows using the fast MLPs and input encodings from within a Python context. These bindings can be significantly faster than full Python implementations; in particular for the multiresolution hash encoding.
    Downloads: 0 This Week
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  • 3
    SentencePiece

    SentencePiece

    Unsupervised text tokenizer for Neural Network-based text generation

    SentencePiece is an unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training. SentencePiece implements subword units (e.g., byte-pair-encoding (BPE) [Sennrich et al.]) and unigram language model [Kudo.]) with the extension of direct training from raw sentences. SentencePiece allows us to make a purely end-to-end system that does not depend on language-specific pre/postprocessing. Purely data driven, sentencePiece trains tokenization and detokenization models from sentences. ...
    Downloads: 0 This Week
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  • 4
    YouTokenToMe

    YouTokenToMe

    Unsupervised text tokenizer focused on computational efficiency

    YouTokenToMe is a fast and efficient unsupervised text tokenization library designed for training subword embeddings, particularly useful for NLP models.
    Downloads: 0 This Week
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  • 5
    Hunspell is a spell checker and morphological analyzer library and program designed for languages with rich morphology and complex compounding or character encoding. Hunspell interfaces: Curses, Ispell compatible pipe interface, OpenOffice.org UNO module
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    Downloads: 277 This Week
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