1 مستودع
Awesome GitHub RepositoriesParallel Process Coordination
Management and spawning of child processes across different backends to execute training scripts in parallel.
Distinct from Parallel Processing: Shortlist candidates focus on PDF or text processing; this is about managing the process lifecycles for ML training.
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Awesome Parallel Process Coordination GitHub Repositories
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- pytorch/ignite
pytorch/ignite
4,770عرض على GitHubIgnite is a high-level training framework for PyTorch neural networks that serves as a training engine and deep learning lifecycle manager. It provides a structured system for organizing and automating training and evaluation loops, managing data iterators and triggering event handlers at specific milestones during the model training process. The project distinguishes itself through a comprehensive suite of tools for distributed training and model evaluation. It includes utilities for synchronizing gradients and coordinating collective communication across multiple GPUs or nodes, as well as a
Spawns and manages child processes across different backends to execute scripts in a parallel environment.
Python
