Showing 207 open source projects for "python neural"

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  • 1
    The Genetic Architecture Framework is intended to explore and experiment with artificial life techniques using a genetic base for the physical and neural networks for the brain, in a game based simulated world.
    Downloads: 0 This Week
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  • 2
    Rhino

    Rhino

    On-device Speech-to-Intent engine powered by deep learning

    Rhino is Picovoice's Speech-to-Intent engine. It directly infers intent from spoken commands within a given context of interest, in real-time. The end-to-end platform for embedding private voice AI into any software in a few lines of code. Design with no limits on top of a modular platform. Create use-case-specific voice AI models in seconds. Develop voice features with a few lines of code using intuitive and cross-platform SDKs. Deliver voice AI everywhere: on-device, mobile, web browsers,...
    Downloads: 0 This Week
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  • 3
    nannY is short for Not another neural network! Why!?! and that's just what this is all about. nannY is supposed to be an easy to extend python implementation of artificial neural networks.
    Downloads: 0 This Week
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  • 4
    mozg is a flexible, fast neurolibrary. It allows one to create, learn and use multi-layer perceptron (MLP), which is the most popular artificial neural network (ANN). This work is based on library originally written by Alexy Filin.
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  • 5
    a distributed engine for abstract neural network development via natural-language programming
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  • 6
    ControlNet

    ControlNet

    Extension for Stable Diffusion using edge, depth, pose, and more

    ControlNet is a neural network architecture that enhances Stable Diffusion by enabling image generation conditioned on specific visual structures such as edges, poses, depth maps, and segmentation masks. By injecting these auxiliary inputs into the diffusion process, ControlNet gives users powerful control over the layout and composition of generated images while preserving the style and flexibility of generative models. It supports a wide range of conditioning types through pretrained modules...
    Downloads: 0 This Week
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  • 7
    voice-activity-detection

    voice-activity-detection

    Detects speech activity in audio using pyannote.audio 2.1 pipeline

    The voice-activity-detection model by pyannote is a neural pipeline for detecting when speech occurs in audio recordings. Built on pyannote.audio 2.1, it identifies segments of active speech within any audio file, making it valuable for preprocessing tasks like transcription, diarization, or voice-controlled systems. The model was trained using datasets such as AMI, DIHARD, and VoxConverse, and it requires users to authenticate via Hugging Face for access. To use the model, users must accept...
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