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Achievement: Arctic Code Vault ContributorAchievement: StarstruckAchievement: Pull Sharkx3

Achievements

Achievement: Arctic Code Vault ContributorAchievement: StarstruckAchievement: Pull Sharkx3

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ceyzaguirre4/README.md

Hi there 👋

M.Sc.Eng. Student at Pontificia Universidad Católica de Chile. I've been researching for this institution's artificial intelligence laboratory for over 2 years, with emphasis in Machine Reasoning, Meta Learning and Adaptive Computation Time models. Teaching assistant for the courses Artificial intelligence, Deep Learning, and the Capstone for Software Engineering majors, as well as teacher in the same institution's AI diploma course. Passionate about the outdoors (ultra-running, skiing, hiking, etc!) and scientific innovation.

I'll be joining Stanford University as a Ph.D. student Fall 2021.

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  1. mac-network-pytorch mac-network-pytorch Public

    Forked from rosinality/mac-network-pytorch

    Memory, Attention and Composition (MAC) Network for CLEVR implemented in PyTorch

    Python 4 3

  2. DACT-MAC DACT-MAC Public

    Repository for hosting the code for the CVPR 2020 paper Differentiable Adaptive Computation Time for Visual Reasoning.

    Python 14 2

  3. adaptive_computation adaptive_computation Public

    Adaptive computation time in pytorch

    Python 2

  4. NSM NSM Public

    Neural State Machine implemented in PyTorch

    Python 69 6

  5. starlette-mvc starlette-mvc Public template

    MVC barebones template for Starlette (ASGI) based web projects.

    Python 7 1

  6. pytorch training loop saves model, o... pytorch training loop saves model, optimizer, scheduler and history_dict
    1 
    def train_model(model, criterion, optimizer, history, scheduler=None, num_epochs=25, save_path='checkpoint', continue_training=False, start_epoch=0):
    2 
        # load trained model
    3 
        if continue_training:
    4 
            with open(BASE_PATH + 'weights/{}_{}.model'.format(save_path, start_epoch - 1), 'rb') as f:
    5 
                state = torch.load(f, map_location=DEVICE)