H2O.ai Releases H2O4GPU, the Fastest Collection of GPU Algorithms on the Market, to Expedite Machine Learning in Python | H2O.ai
Snap ML: 2x to 40x Faster Machine Learning than Scikit-Learn | by Sumit Gupta | Medium
Python, Performance, and GPUs. A status update for using GPU… | by Matthew Rocklin | Towards Data Science
Speedup relative to scikit-learn over varying numbers of trees when... | Download Scientific Diagram
Snap ML: 2x to 40x Faster Machine Learning than Scikit-Learn | by Sumit Gupta | Medium
Scikit-learn Tutorial – Beginner's Guide to GPU Accelerated ML Pipelines | NVIDIA Technical Blog
Here's how you can accelerate your Data Science on GPU | by George Seif | Towards Data Science
Accelerating TSNE with GPUs: From hours to seconds | by Daniel Han-Chen | RAPIDS AI | Medium
Boosting Machine Learning Workflows with GPU-Accelerated Libraries | by João Felipe Guedes | Towards Data Science
Here's how you can accelerate your Data Science on GPU - KDnuggets
Intel® Extension for Scikit-learn*
Speed up your scikit-learn modeling by 10–100X with just one line of code | by Buffy Hridoy | Bootcamp
Scikit-learn – What Is It and Why Does It Matter?
Machine Learning on GPU
A vision for extensibility to GPU & distributed support for SciPy, scikit- learn, scikit-image and beyond | Quansight Labs
python - Why is sklearn faster on CPU than Theano on GPU? - Stack Overflow
Setting up Ubuntu 16.04 + CUDA + GPU for deep learning with Python - PyImageSearch
Snap ML, IBM Research Zurich
Train a scikit-learn neural network with onnxruntime-training on GPU — onnxcustom
Scikit-learn" Sticker for Sale by coderman | Redbubble
Running Scikit learn models on GPUs | Data Science and Machine Learning | Kaggle
