Showing 3 open source projects for "edmonds-karp algorithm implementation in python"

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    Rezku Point of Sale

    Designed for Real-World Restaurant Operations

    Rezku is an all-inclusive ordering platform and management solution for all types of restaurant and bar concepts. You can now get a fully custom branded downloadable smartphone ordering app for your restaurant exclusively from Rezku.
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  • Create stunning, professional email signatures in minutes Icon
    Create stunning, professional email signatures in minutes

    For companies looking to create, assign and manage all their employees email signatures and add targeted marketing banners.

    Create, assign and manage all your employees’ email signatures and add targeted marketing banners. Stop getting worked up about your signatures! Leverage a centralized interface to easily create and manage the email signatures of all your employees. Take advantage of each email to broadcast and amplify your brand. Letsignit helps you regain control over your digital identity. Harmonize 100% of your employee’s email signatures in just a few clicks! 121 professional emails are received and 40 are sent every day by an employee. With Letsignit, turn every email into a powerful communication opportunity: send the right message to the right person at the right time! Innovative more than tech, inspiring more than following. Authentic more than overrated, close more than "think big", trustworthy more than doubtful. Hands-on more than complex, available but yet premium, fun but yet expert.
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    AlphaZero.jl

    AlphaZero.jl

    A generic, simple and fast implementation of Deepmind's AlphaZero

    Beyond its much publicized success in attaining superhuman level at games such as Chess and Go, DeepMind's AlphaZero algorithm illustrates a more general methodology of combining learning and search to explore large combinatorial spaces effectively. We believe that this methodology can have exciting applications in many different research areas. Because AlphaZero is resource-hungry, successful open-source implementations (such as Leela Zero) are written in low-level languages (such as C++)...
    Downloads: 8 This Week
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  • 2
    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...
    Downloads: 0 This Week
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  • 3
    CRFasRNN

    CRFasRNN

    Semantic image segmentation method described in the ICCV 2015 paper

    CRF-RNN is a deep neural architecture that integrates fully connected Conditional Random Fields (CRFs) with Convolutional Neural Networks (CNNs) by reformulating mean-field CRF inference as a Recurrent Neural Network. This fusion enables end-to-end training via backpropagation for semantic image segmentation tasks, eliminating the need for separate, offline post-processing steps. Our work allows computers to recognize objects in images, what is distinctive about our work is that we also...
    Downloads: 0 This Week
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