Machine Learning with PyTorch and Scikit-Learn – The *New* Python ML Book

• cuml

  10 3,894 9.3 C++

  cuML - RAPIDS Machine Learning Library

  

• scikit-learn-intelex

  3 1,160 9.5 Python

  Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

  

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• hummingbird

  9 3,302 7.1 Python

  Hummingbird compiles trained ML models into tensor computation for faster inference.

  

I think Rapids AI's cuML tried to go into this direction (essentially scikit-learn on the GPU): https://docs.rapids.ai/api/cuml/stable/api.html#logistic-reg.... For some reason it never took really off though.

Btw., going on a tangent, you might like Hummingbird (https://github.com/microsoft/hummingbird). It allows you trained scikit-learn tree-based models to PyTorch. I watched the SciPy talk last year, and it's a super smart & elegant idea.

Suggest a related project