ML/DL project template
A PyTorch Lightning project template for structuring deep learning research code to ensure reproducibility and extensibility.
What is ML/DL project template?
Deep Learning Project Template is a structured seed project for starting new deep learning and machine learning research projects using PyTorch Lightning. It provides a standardized codebase with built-in setup, examples, and tools to ensure work is easily replicable and extendable, addressing the common problem of inconsistent code organization in academic research.
Machine learning researchers, data scientists, and students who are publishing papers or collaborating on deep learning projects and need a consistent starting point for their code.
Developers choose this template because it saves time on project setup, enforces best practices for code organization, and specifically targets the needs of academic research with features like BibTeX support and conference badge integration.
Overview
Pytorch Lightning code guideline for conferences
Use Cases
Best For
- Starting new deep learning research projects for academic papers
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