philferriere/dlwin
GPU-accelerated Deep Learning on Windows 10 native
This guide helps developers and machine learning engineers set up a GPU-accelerated deep learning environment natively on Windows 10. It provides step-by-step instructions to install and configure various deep learning frameworks like Keras, TensorFlow, CNTK, MXNet, and PyTorch, along with their dependencies. The output is a fully functional deep learning setup that leverages NVIDIA GPUs for faster model training and inference.
516 stars. No commits in the last 6 months.
Use this if you are a developer or machine learning engineer who needs to run GPU-accelerated deep learning frameworks directly on a Windows 10 machine without using virtual machines or Docker.
Not ideal if you prefer using Linux or macOS for your deep learning development, or if you need support for older versions of these frameworks.
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Jul 21, 2022
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