High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
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Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
A library of metrics for evaluating recommender systems
BugLogHQ is a tool to centralize the handling of automated bug reports from multiple applications. BugLogHQ provides a unified view of error messages sent from any number of applications, allowing the developer to search, graph, forward, and explore the bug reports submitted by the applications.
Easier-than-print dataflow tracing to tap> and Portal with automatic last-input function replay on eval, instant re-render and effortless extraction of traced data