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AnjieZheng avatar

AnjieZheng/MnasNet-PyTorch

0
View on GitHub↗
275 stars·52 forks·Python·10 views

MnasNet PyTorch

A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.

Features

  • Image Classification Architectures - Platform-aware neural architecture search network for PyTorch.

Star history

Star history chart for anjiezheng/mnasnet-pytorchStar history chart for anjiezheng/mnasnet-pytorch

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.

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Projects sharing features with MnasNet PyTorch

These projects share indexed features with MnasNet PyTorch. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • wang-xinyu/tensorrtxwang-xinyu avatar

    wang-xinyu/tensorrtx

    7,802View on GitHub↗

    tensorrtx is a computer vision inference engine and model implementation library designed for graphics processor acceleration. It provides a framework for optimizing deep learning models through a GPU inference optimizer, a deep learning model converter for transforming weights from frameworks like TensorFlow and PyTorch, and a custom plugin library to implement operations not natively supported by the TensorRT API. The project distinguishes itself through a comprehensive collection of pre-defined network implementations, ranging from various YOLO versions and DETR transformers for object det

    C++arcfacecrnndetr
    View on GitHub↗7,802
  • fchollet/deep-learning-modelsfchollet avatar

    fchollet/deep-learning-models

    7,349View on GitHub↗

    This project is a collection of deep learning tools for image classification and audio tagging, providing a repository of pre-trained model weights and architectures. It serves as a Keras model zoo that enables the immediate use of established neural networks for inference and transfer learning. The library includes a music tagging framework that classifies audio recordings using convolutional recurrent neural networks and mel-spectrograms. For visual data, it provides implementations of architectures such as ResNet, VGG, and Xception, alongside a repository of weights trained on large datase

    Python
    View on GitHub↗7,349
  • bowenbaker/metaqnnbowenbaker avatar

    bowenbaker/metaqnn

    138View on GitHub↗

    MetaQNN Codebase

    Python
    View on GitHub↗138
  • bruinxiong/modified-crunet-and-residual-attention-network.mxnetbruinxiong avatar

    bruinxiong/Modified-CRUNet-and-Residual-Attention-Network.mxnet

    67View on GitHub↗

    :fire::fire:A MXNet implementation of Modified CRUNet & Residual Attention Network:fire::fire:

    Python
    View on GitHub↗67
Compare all 30 related projects→

Frequently asked questions

What does anjiezheng/mnasnet-pytorch do?

A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.

What are the main features of anjiezheng/mnasnet-pytorch?

The main features of anjiezheng/mnasnet-pytorch are: Image Classification Architectures.

Which projects share features with anjiezheng/mnasnet-pytorch?

Projects with overlapping indexed features include: wang-xinyu/tensorrtx — tensorrtx is a computer vision inference engine and model implementation library designed for graphics processor… fchollet/deep-learning-models — This project is a collection of deep learning tools for image classification and audio tagging, providing a repository… bowenbaker/metaqnn — MetaQNN Codebase. bruinxiong/senet.mxnet — :fire::fire: A MXNet implementation of Squeeze-and-Excitation Networks (SE-ResNext, SE-Resnet, SE-Inception-v4 and… chenxi116/pnasnet.pytorch — PyTorch implementation of PNASNet-5 on ImageNet. bruinxiong/modified-crunet-and-residual-attention-network.mxnet — :fire::fire:A MXNet implementation of Modified CRUNet & Residual Attention Network:fire::fire:.