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higgsfield/Capsule-Network-Tutorial

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Capsule Network Tutorial

This is easy-to-follow Capsule Network tutorial with clean readable code: Capsule Network.ipynb

Features

  • Computer Vision Models - Tutorial for implementing capsule networks.

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  • Learning Resources - Step-by-step guide for implementing capsule networks.
  • Model Implementations - Easy-to-follow capsule network implementation.
  • Research Implementations - Educational PyTorch implementation for learning capsule networks.
  • 765 stars·136 forks·Jupyter Notebook·15 views

    Star history

    Star history chart for higgsfield/capsule-network-tutorialStar history chart for higgsfield/capsule-network-tutorial

    How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

    Projects sharing features with Capsule Network Tutorial

    These projects share indexed features with Capsule Network Tutorial. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
    • yunjey/starganyunjey avatar

      yunjey/stargan

      5,292View on GitHub↗

      StarGAN is a PyTorch image-to-image translation framework designed to synthesize visual styles and attributes across multiple domains. It implements a generative adversarial network that serves as a deep learning image translator for modifying specific visual characteristics within an image dataset. The framework uses a single unified model to handle translations between multiple image domains rather than requiring separate pairs of models. It is a research implementation that learns mappings between different image attributes without the need for paired training data. The project covers the

      Python
      View on GitHub↗5,292
    • 1adrianb/face-alignment1adrianb avatar

      1adrianb/face-alignment

      7,518View on GitHub↗

      This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a facial landmark detector and reconstruction tool, utilizing deep learning to identify precise geometric points on human faces from image datasets. The library allows for the selection of specific detection backends to balance accuracy and processing speed. It supports the integration of precomputed bounding box files, which enables the system to bypass the initial detection phase and proceed directly to landmark extraction. The toolkit includes capabilities for batch image p

      Python
      View on GitHub↗7,518
    • aaron-xichen/pytorch-playgroundaaron-xichen avatar

      aaron-xichen/pytorch-playground

      2,714View on GitHub↗

      Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

      Pythonpytorchpytorch-tutorialpytorch-tutorials
      View on GitHub↗2,714
    • 1zb/deformable-convolution-pytorch1zb avatar

      1zb/deformable-convolution-pytorch

      410View on GitHub↗

      PyTorch implementation of Deformable Convolution

      Cuda
      View on GitHub↗410
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    Frequently asked questions

    What does higgsfield/capsule-network-tutorial do?

    This is easy-to-follow Capsule Network tutorial with clean readable code: Capsule Network.ipynb

    What are the main features of higgsfield/capsule-network-tutorial?

    The main features of higgsfield/capsule-network-tutorial are: Computer Vision Models, Learning Resources, Model Implementations, Research Implementations.

    Which projects share features with higgsfield/capsule-network-tutorial?

    Projects with overlapping indexed features include: yunjey/stargan — StarGAN is a PyTorch image-to-image translation framework designed to synthesize visual styles and attributes across… aosokin/biogans — Implementation of "GANs for Biological Image Synthesis". aaron-xichen/pytorch-playground — Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet,… 1zb/deformable-convolution-pytorch — PyTorch implementation of Deformable Convolution. 1adrianb/face-alignment — This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a… amdegroot/ssd.pytorch — This is a PyTorch object detection framework that implements the Single Shot MultiBox Detector for identifying and…