L1aoXingyu/Deep-Learning-Project-Template
A best practice for deep learning project template architecture.
This project provides a pre-structured framework for deep learning projects using PyTorch. It helps deep learning practitioners organize their code for tasks like image classification, object detection, or natural language processing by offering a standardized folder structure and best practices. You provide your specific model architecture and training logic, and the template handles the boilerplate setup, accelerating the start of new deep learning experiments and applications.
1,391 stars. No commits in the last 6 months.
Use this if you are a deep learning engineer, researcher, or data scientist frequently starting new PyTorch projects and want to quickly set up a well-organized, scalable codebase without repeatedly writing foundational elements.
Not ideal if you are looking for a high-level, drag-and-drop solution that abstracts away all code, or if you prefer a completely custom, unopinionated project structure from scratch.
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Apr 12, 2019
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