Fafa-DL/Awesome-Backbones
A PyTorch repository collecting image classification backbones including ResNet, EfficientNet, Swin Transformer, and other deep learning architectures with training configurations.
Not currently ranked — collecting fresh signals.
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This repository consolidates implementations of various neural network backbones for image classification tasks. It provides training pipelines, configuration files, and ready-to-use model definitions in PyTorch. The project includes support for multiple backbone architectures like ResNet, EfficientNet variants, and Swin Transformers, along with training tips for troubleshooting convergence issues and ONNX export capabilities.
Frequently asked
- What is Fafa-DL/Awesome-Backbones?
- A PyTorch repository collecting image classification backbones including ResNet, EfficientNet, Swin Transformer, and other deep learning architectures with training configurations.
- Is Awesome-Backbones open source?
- Yes — Fafa-DL/Awesome-Backbones is an open-source project tracked on heatdrop.
- What language is Awesome-Backbones written in?
- Fafa-DL/Awesome-Backbones is primarily written in Python.
- How popular is Awesome-Backbones?
- Fafa-DL/Awesome-Backbones has 2k stars on GitHub.
- Where can I find Awesome-Backbones?
- Fafa-DL/Awesome-Backbones is on GitHub at https://github.com/Fafa-DL/Awesome-Backbones.