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Repositories for all your experiments

Cubyc simplifies experiment tracking and analysis, so you can focus on the real data science.

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from cubyc import Run, query

@Run(tags=["ml"], remote="https://github.com/owner/repo.git")
def func(lr: float):
    # Run your experiment & save artifacts
    yield {"accuracy": 0.95}

statement = "SELECT * FROM logs WHERE accuracy > 0.9"

query(statement, remote="https://github.com/owner/repo.git")
from cubyc import Run, query

@Run(tags=["ml"], remote="https://github.com/owner/repo.git")
def func(lr: float):
    # Run your experiment & save artifacts
    yield {"accuracy": 0.95}

statement = "SELECT * FROM logs WHERE accuracy > 0.9"

query(statement, remote="https://github.com/owner/repo.git")

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