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JaminFong/DenseNAS

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DenseNAS

Features

  • Neural Network Architectures - Neural architecture search for dense networks.
  • Architecture Search - Listed in the “Architecture Search” section of the The Incredible Pytorch awesome list.

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DenseNAS 的开源替代方案

相似的开源项目,按与 DenseNAS 的功能重合度排序。
  • quark0/dartsquark0 的头像

    quark0/darts

    4,000在 GitHub 上查看↗

    Darts is a differentiable architecture search framework and library designed to automate the discovery of optimal convolutional and recurrent neural network structures. It serves as a research tool for finding high-performing cell topologies using gradient-based optimization. The framework employs a differentiable cell super-net and weight-sharing mechanisms to identify effective network connectivity. It utilizes second-order approximation to estimate the performance of discrete architectural candidates and converts learned continuous weights into discrete graph structures through genotype-to

    Python
    在 GitHub 上查看↗4,000
  • lukemelas/efficientnet-pytorchlukemelas 的头像

    lukemelas/EfficientNet-PyTorch

    8,223在 GitHub 上查看↗

    This is a PyTorch implementation of EfficientNet convolutional neural networks. It serves as a computer vision model library providing architectures for image classification and high-level feature extraction, including pre-trained weights for immediate image categorization. The library supports transfer learning by allowing the modification of model architectures and output layers to accommodate a custom number of classes for new datasets. It also includes a model exporter to convert trained PyTorch weights into the ONNX format for production inference. The system covers broader computer vis

    Python
    在 GitHub 上查看↗8,223
  • carpedm20/enas-pytorchcarpedm20 的头像

    carpedm20/ENAS-pytorch

    2,722在 GitHub 上查看↗

    PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

    Pythongoogle-brainneural-architecture-searchpytorch
    在 GitHub 上查看↗2,722
  • zsef123/efficientnets-pytorchzsef123 的头像

    zsef123/EfficientNets-PyTorch

    314在 GitHub 上查看↗

    A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."

    Python
    在 GitHub 上查看↗314
查看 DenseNAS 的所有 30 个替代方案→

常见问题解答

jaminfong/densenas 的主要功能有哪些?

jaminfong/densenas 的主要功能包括:Neural Network Architectures, Architecture Search。

jaminfong/densenas 有哪些开源替代品?

jaminfong/densenas 的开源替代品包括: lukemelas/efficientnet-pytorch — This is a PyTorch implementation of EfficientNet convolutional neural networks. It serves as a computer vision model… zsef123/efficientnets-pytorch — A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.". quark0/darts — Darts is a differentiable architecture search framework and library designed to automate the discovery of optimal… carpedm20/enas-pytorch — PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing". blealtan/efficient-kan — This project is a PyTorch library for building and training Kolmogorov-Arnold Networks. It implements a neural network… microsoft/ai-edu — ai-edu is a comprehensive AI education curriculum and machine learning courseware collection. It provides theoretical…