#
cudnn8
Here are 4 public repositories matching this topic...
PyTorch installation wheels for Jetson Nano
wheelcudatorchpython3pytorchaarch64cudnnpython-wheeljetson-tx2torchvisionjetson-xavierlibtorchcuda-10jetson-nanopytorch-installationcudnn8
- Updated
Sep 20, 2023
Caffe-ssd: a fast open framework for deep learning adapted for Raspberry Pi, Jetson Nano and Ubuntu. Fixed for cuDNN 8
raspberry-picaffeubuntujetson-tx2caffe-ssdubuntu1804aarch64-linuxjetson-nanoraspberry-pi-4ubuntu2004x86-64-linux-gnucudnn8
- Updated
Dec 7, 2021 - C++
This repository contains Docker Image files, which support the common frameworks required for Deep learning implementation. The images support both the latest GPU (Nvidia CUDA) and CPU processors.
dockerdockerfileopencvdeep-learninggpudocker-imagescikit-learncudapytorchcudnnpytorch-cnntensorflow2kersacudnn8cuda11
- Updated
Feb 16, 2022 - Shell
Using thehttps://github.com/BVLC/caffe with Python 3, OpenCV 4, CUDA 11.X and cuDNN 8.
- Updated
Oct 9, 2023 - C++
Improve this page
Add a description, image, and links to thecudnn8 topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with thecudnn8 topic, visit your repo's landing page and select "manage topics."