Research Engineer at Fujitsu Research. Co-creator of @settadev. Creator of PyTorch Metric Learning. ML PhD from Cornell.
pytorch-metric-learning. The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
6.3kpowerful-benchmarker. A library for ML benchmarking. It's powerful.
441pytorch-adapt. Domain adaptation made easy. Fully featured, modular, and customizable.
397easy-module-attribute-getter. Fetch and initialize objects in one line, without any if-statements or dictionaries. Merge and override complex config options at the command line.
21record-keeper. Record experiment data easily
14pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration
3best-of-ml-python. 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
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