6 projects for "nn" with 2 filters applied:

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  • 1
    DINOv2

    DINOv2

    PyTorch code and models for the DINOv2 self-supervised learning

    ...The core promise is that a single pretrained backbone can transfer well to many downstream tasks—from linear probing on classification to retrieval, detection, and segmentation—often requiring little or no fine-tuning. The repository includes code for training, evaluating, and feature extraction, with utilities to run k-NN or linear evaluation baselines to assess representation quality. Pretrained checkpoints cover multiple model sizes so practitioners can trade accuracy for speed and memory depending on their deployment constraints.
    Downloads: 2 This Week
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  • 2
    tt-metal

    tt-metal

    TT-NN operator library, and TT-Metalium low level kernel programming

    tt-metal, also referred to in its documentation as TT-Metalium, is Tenstorrent’s low-level software development kit for programming applications on Tenstorrent AI accelerators. The project is designed for developers who need direct access to the company’s Tensix processor architecture, exposing a programming model that is closer to hardware control than high-level inference frameworks. Instead of following a traditional GPU model centered on massive thread parallelism, the platform is built...
    Downloads: 26 This Week
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  • 3
    Java Neural Network Framework Neuroph
    Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
    4.8 out of 5 stars 17 Reviews
    Downloads: 72 This Week
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  • 4
    Traditional Malaysian board game. Similar to Mancala. Implement NeuralNetwork (NN) agent, Min-Max, and Random move. System is based on Adam Cofer's Mancala system (2003). Also using Neuroph 2.5b by Zoran Servarac for NN. All code under GPLv3.
    Downloads: 0 This Week
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  • 5
    Downloads: 0 This Week
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  • 6
    Mental is a neural network engine implemented in pure Python. Design goals are easy-to-read source code, completeness, and ease of use. Presently implements feed-forward, back-propagation networks. Intended primarily for instructional use.
    Downloads: 0 This Week
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