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TorchServant is an assembly helping quickly development for PyTorch users.It contains following components: modelservant: Manage weights files and checkpoints, keep training process continuous. procmonitor: API for visdom and tensorboard, visualize diagrams, illustrations and progresses. stats Resource statistics on GPUs, memories, cpu, and consumed time. classicmodels: Include AlexNet, VGG, Resnet, Inception, etc. visualfeature: Visualize feature maps during training and evaluation process. weightransfer: An Qt-based visual tool to transfer weights between different models.

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