Showing 3 open source projects for "neural algorithm"

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    Imagen - Pytorch

    Imagen - Pytorch

    Implementation of Imagen, Google's Text-to-Image Neural Network

    Implementation of Imagen, Google's Text-to-Image Neural Network that beats DALL-E2, in Pytorch. It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than DALL-E2. It consists of a cascading DDPM conditioned on text embeddings from a large pre-trained T5 model (attention network). It also contains dynamic clipping for improved classifier-free guidance, noise level conditioning, and a memory-efficient unit design. It appears neither CLIP nor prior network...
    Downloads: 2 This Week
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  • 2
    AHANNS

    AHANNS

    AHANNS - Amateur Homemade Artificial Neural Network Simulator

    AHANNS enables the user to create and train artificial neural networks. Training is carried out by an implementation of back propagation learning algorithm. See the documentation for details. This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    a distributed engine for abstract neural network development via natural-language programming
    Downloads: 0 This Week
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