pip install autograd==1.3
Efficiently computes derivatives of numpy code.
SourceAmong top 1000 packages on PyPI.
Over 4.3M downloads in the last 90 days.
autograd
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
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Design of experiments for Python |
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Parallel active learning of mathematical functions |
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Human-friendly HSL |
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autogradProportion of downloaded versions in the last 3 months (only versions over 1%).
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1.3 |
99.65% |