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    DALL-E 2 - Pytorch

    DALL-E 2 - Pytorch

    Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis

    Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch. The main novelty seems to be an extra layer of indirection with the prior network (whether it is an autoregressive transformer or a diffusion network), which predicts an image embedding based on the text embedding from CLIP. Specifically, this repository will only build out the diffusion prior network, as it is the best performing variant (but which incidentally involves a causal transformer as the denoising network) To train DALLE-2 is a 3 step process, with the training of CLIP being the most important. ...
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  • 2
    The main goal of this project is to create a system-independent MathML rendering engine in Python. This engine works with an abstract 'plotter' driver class, that can be subclassed for any rendering device needed.
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  • 3
    This project holds a copy of the main gimp cvs tree and gives plug-in developers a chance to maintain/update their plug-ins without a gnome cvs account.
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