bamos/densenet.pytorch
A PyTorch implementation of DenseNet.
This project offers a verified implementation of the DenseNet-BC neural network architecture, built for use within the PyTorch deep learning framework. It takes image datasets like CIFAR-10 and outputs a trained image classification model with state-of-the-art performance. This is for machine learning researchers and practitioners who are building or experimenting with image recognition systems.
842 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or engineer who needs a robust and verified DenseNet model as a component in your image classification or computer vision projects within PyTorch.
Not ideal if you are looking for a high-level API for immediate, off-the-shelf image classification without any PyTorch development.
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842
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187
Language
Python
License
Apache-2.0
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Last pushed
Aug 16, 2018
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