Janspiry/distributed-pytorch-template
This is a seed project for distributed PyTorch training, which was built to customize your network quickly
This project helps machine learning engineers or researchers quickly set up and run deep learning model training, especially when dealing with large datasets and complex models that require distributed processing. It provides a structured template to define your neural network architecture, data loading, and training process, allowing you to focus on model customization rather than boilerplate code. You input your PyTorch-based network definitions and dataset paths, and it outputs trained models and performance logs, ready for evaluation or deployment.
163 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher building custom deep learning models with PyTorch and need a robust, configurable template for distributed training, checkpointing, and performance monitoring.
Not ideal if you are looking for a pre-trained model to use off-the-shelf, or if you prefer a low-code/no-code solution for standard deep learning tasks.
Stars
163
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19
Language
Python
License
MIT
Category
Last pushed
Jun 22, 2022
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