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Deep metric learning algorithms have a wide variety of applications, but implementing these algorithms can be tedious and time consuming.
Scikit-learn: Machine learning in python
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, et al · 2011
Earlier work this paper cites.
The numpy array: a structure for efficient numerical computation
S. v. d. Walt, S. C. Colbert, and G. Varoquaux · 2011
Earlier work this paper cites.
Pytorch: An imperative style, high-performance deep learning library
A. Paszke, S. Gross, F. Massa, A. Lerer, J. Bradbury, G. Chanan, T. Killeen, Z. Lin, N. Gimelshein, L. Antiga, et al · 2019
Cited alongside, same era.
metric-learn: Metric learning algorithms in python
W. de Vazelhes, C. Carey, Y. Tang, N. Vauquier, and A. Bellet · 2020
Cited alongside, same era.
pydml: A python library for distance metric learning
J. L. Suarez, S. GarcÃa, and F. Herrera · 2020
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