Using Auto-sklearn for More Efficient Model Training -
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
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
Pytorch is only using GPU for vram, not for actual compute - vision - PyTorch Forums
Snap ML: 2x to 40x Faster Machine Learning than Scikit-Learn | by Sumit Gupta | Medium
running python scikit-learn on GPU? : r/datascience
Is Python 3 in dynamo use GPU or CPU? - Machine Learning - Dynamo
GPU Accelerated Data Analytics & Machine Learning - KDnuggets
Here's how you can accelerate your Data Science on GPU | by George Seif | Towards Data Science
Scikit-learn Tutorial – Beginner's Guide to GPU Accelerating ML Pipelines | NVIDIA Technical Blog
H2O.ai Releases H2O4GPU, the Fastest Collection of GPU Algorithms on the Market, to Expedite Machine Learning in Python | H2O.ai
Nvidia Rapids : Running Pandas on GPU | What is Nvidia Rapids
Sklearn | Domino Data Science Dictionary
python - Why RandomForestClassifier on CPU (using SKLearn) and on GPU (using RAPIDs) get differents scores, very different? - Stack Overflow
Boosting Machine Learning Workflows with GPU-Accelerated Libraries | by João Felipe Guedes | Towards Data Science
Sklearn🆚RAPIDS🆚Pandas | Kaggle
GitHub - ChaohuiYu/scikitlearn_plus: Accelerate scikit-learn with GPU support