- Installing Cuda Toolkit on WSL+Fedora36 https://docs.nvidia.com/cuda/wsl-user-guide/index.html 2 comments fedora
- Nvidia 455.32 driver mentioned on CUDA on WSL User Guide https://docs.nvidia.com/cuda/wsl-user-guide/index.html#changelog 14 comments nvidia
Linking pages
- Install TensorFlow with pip https://www.tensorflow.org/install/pip#system-install 176 comments
- Install TensorFlow with pip https://www.tensorflow.org/install/install_windows 25 comments
- Install TensorFlow with pip https://www.tensorflow.org/install/gpu 22 comments
- GPU accelerated ML workflows broadly available in the Windows Subsystem for Linux - Windows AI Platform https://devblogs.microsoft.com/windowsai/gpu-accelerated-ml-workflows-broadly-available-in-the-windows-subsystem-for-linux/?wt.mc_id=academic-0000-abartolo 15 comments
- GitHub - mikeroyal/Unreal-Engine-Guide: Unreal Engine 5 Guide. Learn to develop games for Windows, Linux, macOS, iOS, Android, Xbox Series X|S, PlayStation 4 & 5, Nintendo Switch. https://github.com/mikeroyal/Unreal-Engine-Guide#linux-development 12 comments
- GitHub - AmineDjeghri/AwesomeWindows11: Some windows tips to improve your UX experience when using windows 11 (including WSL2 & development tools) https://github.com/AmineDjeghri/AwesomeWindows11 10 comments
- GitHub - mikeroyal/Neuromorphic-Computing-Guide: Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures. https://github.com/mikeroyal/Neuromorphic-Computing-Guide 7 comments
- GitHub - mikeroyal/Machine-Learning-Guide: Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, and Training Models. https://github.com/mikeroyal/Machine-Learning-Guide 2 comments
- GitHub - remifan/commplax: A Python DSP framework for optical communications, accelerated in CPU/GPU, differentiate, vectorize, and more, powered by JAX. https://github.com/remifan/commplax 1 comment
- GitHub - FlyBrainLab/FlyBrainLab: An interactive computing platform for studying the function of executable circuits constructed from fly brain data. https://github.com/FlyBrainLab/FlyBrainLab 1 comment
- GitHub - mikeroyal/Game-Console-Dev-Guide: Game Console Dev Guide. Learn to develop games for Xbox Series X|S, PlayStation 4 & 5, Nintendo Switch, Steam Deck, and Apple Silicon. https://github.com/mikeroyal/Game-Console-Dev-Guide 1 comment
- GitHub - JeffreyCA/spleeter-web: Self-hostable web app for isolating the vocal, accompaniment, bass, and drums of any song. Supports Spleeter, D3Net, Demucs, Tasnet, X-UMX. Built with React and Django. https://github.com/JeffreyCA/spleeter-web 1 comment
- GitHub - learning-at-home/hivemind: Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world. https://github.com/learning-at-home/hivemind 1 comment
- GitHub - smy20011/dreambooth-docker https://github.com/smy20011/efficient-dreambooth 0 comments
- Getting started with CUDA on Ubuntu on WSL 2 | Ubuntu https://ubuntu.com/blog/getting-started-with-cuda-on-ubuntu-on-wsl-2 0 comments
- NVIDIA, Intel Post New Windows 10 Graphics Drivers For WSL2 Linux App Support - Phoronix https://www.phoronix.com/scan.php?page=news_item&px=Windows-10-Intel-NVIDIA-WSL2 0 comments
- GitHub - mikeroyal/CUDA-Guide: CUDA Guide https://github.com/mikeroyal/CUDA-Guide 0 comments
- GitHub - mikeroyal/Unity-Guide: Unity Engine Guide https://github.com/mikeroyal/Unity-Guide 0 comments
- GitHub - mikeroyal/MATLAB-Guide: MATLAB Guide https://github.com/mikeroyal/MATLAB-Guide 0 comments
- Setting up CUDA on WSL2 in 2023 https://rachitsingh.com/notes/wsl-cuda/ 0 comments
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