shanglianlm0525/PyTorch-Networks
A collection of PyTorch implementations of classical and lightweight CNN architectures for image classification and object detection.
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This repository contains reference implementations of various convolutional neural network architectures including classical models like AlexNet, VGG, and ResNet, lightweight models like MobileNet and ShuffleNet, and object detection networks like SSD. All implementations are built using the PyTorch deep learning framework.
Frequently asked
- What is shanglianlm0525/PyTorch-Networks?
- A collection of PyTorch implementations of classical and lightweight CNN architectures for image classification and object detection.
- Is PyTorch-Networks open source?
- Yes — shanglianlm0525/PyTorch-Networks is an open-source project tracked on heatdrop.
- What language is PyTorch-Networks written in?
- shanglianlm0525/PyTorch-Networks is primarily written in Python.
- How popular is PyTorch-Networks?
- shanglianlm0525/PyTorch-Networks has 2.1k stars on GitHub.
- Where can I find PyTorch-Networks?
- shanglianlm0525/PyTorch-Networks is on GitHub at https://github.com/shanglianlm0525/PyTorch-Networks.