Shypd.aiThe largest open index of AI toolsENAS-pytorch is an AI Agents & Automation tool that provides a PyTorch implementation of Efficient Neural Architecture Search. It significantly reduces computational requirements for NAS by sharing parameters between models, making it efficient for language modeling and deep learning research.
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ENAS-pytorch offers a PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing," a method designed to drastically cut down the computational resources (GPU-hours) needed for Neural Architecture Search (NAS). This is achieved by enabling parameter sharing among various models that function as subgraphs within a larger computational graph. The tool has demonstrated state-of-the-art performance in Penn Treebank language modeling. It supports discovering recurrent cells for RNNs and is in progress for CNN architecture and convolutional cell design. Users can train ENAS for different network types and datasets, including custom text and image datasets, and visualize training details with TensorBoard.
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