entropy-flux/TorchSystem
A framework for creating message-driven training systems with PyTorch
This framework helps AI/ML engineers structure complex PyTorch deep learning projects more effectively. It provides tools to define your models and their associated components (like loss functions and optimizers) as a single unit, and then orchestrate training, evaluation, and other tasks through decoupled services. The result is more organized, scalable, and testable AI systems.
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Use this if you are building sophisticated deep learning systems with PyTorch and need a structured way to manage models and their interactions, especially as your project grows in complexity.
Not ideal if you are working on simple, standalone PyTorch scripts or prefer a less opinionated, more freestyle approach to deep learning project structure.
Stars
21
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 07, 2025
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