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A simple way to find, share, publish, and run machine learning models and discover training data for science
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2026-02-21 02:42:22
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Data and Learning Hub for Science (DLHub) DLHub Data and Learning Hub for Science A simple way to find, share, publish, and run machine learning models and discover training data for science Documentation Read the Docs Examples Python SDK CLI DLHub Models Browse Models Papers and Presentations DLHub Paper DLHub Slides Get Started ... ... Describe m = KerasModel() m.create_model("p1b1-example.h5") m.set_title("CANDLE Pilot 1 - Benchmark 1") m.set_name("candle_p1b1") # short name m.set_domains("genomics","biology","HPC") Publish from dlhub_sdk.client import DLHubClient dl = DLHubClient() dl.publish_servable(m) Run from dlhub_sdk.client import DLHubClient dl = DLHubClient() data = np.load("pilot1.npy") pred = dl.run("test/candle_p1b1", data) See Full Examples How to Cite If you find DLHub useful in your research, please cite the following papers: Chard, Ryan, Zhuozhao Li, Kyle Ch...
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