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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
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
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."
The main features of jaminfong/densenas are: Neural Network Architectures, Architecture Search.
Projects with overlapping indexed features include: 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…