Train your Machine Learning Model 150x Faster with cuML | by Khuyen Tran | Towards Data Science
Here's how you can accelerate your Data Science on GPU | by George Seif | Towards Data Science
Should Sklearn add new gpu-version for tuning parameters faster in the future? · Discussion #19185 · scikit-learn/scikit-learn · GitHub
Scikit-learn Tutorial – Beginner's Guide to GPU Accelerating ML Pipelines | NVIDIA Technical Blog
GitHub - ChaohuiYu/scikitlearn_plus: Accelerate scikit-learn with GPU support
PyTorch-based HyperLearn Statsmodels aims to implement a faster and leaner GPU Sklearn | Packt Hub
Vinay Prabhu on Twitter: "If you are using sklearn modules such as KDTree & have a GPU at your disposal, please take a look at sklearn compatible CuML @rapidsai modules. For a
Boosting Machine Learning Workflows with GPU-Accelerated Libraries | by João Felipe Guedes | Towards Data Science
python - Why is sklearn faster on CPU than Theano on GPU? - Stack Overflow
running python scikit-learn on GPU? : r/datascience