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An Online Training Framework for AI4Science Applications

Show HN: An Online Training Framework for AI4Science Applications

Operating in show hn launch, An Online Training Framework for AI4Science Applications operates.

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Hey, I've been designing a framework to improve the training of deep learning models on expensive numerical simulations. Instead of relying on limited, pre-generated dataset, the approach streams data directly from large-scale numerical simulations running simultaneously with training. Because it avoids I/O bottlenecks it makes training faster and cheaper.It is implemented as an asynchronous iterable dataset using ZMQ for data communication. I would love your thoughts on how to extend this to a full-fledged event-driven application.Although the framework target cluster environments, the link contains code you can try locally. Check it out and let me know what you think!

Within the show hn launch space, the company focuses on its core offering rather than a broad product line.

The company is listed at the Show HN launch stage of development.

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Website: ltmeyer.github.io/2024/10/15/online_data_generation.html

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