A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
-
Updated
May 26, 2024 - Nim
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
AWS CloudFormation templates to provision Linux or Windows EC2 instances with GUI running NICE DCV remote display server. Includes option to install GPU drivers
Deep Learning Framework Written in Rust
Tensorflow CUDA DevContainer Configuration for Supporting NVIDIA GPU
OpenCV installation script with CUDA and cuDNN support
🐳 Python GPU adds a minimal install of CUDA and cuDNN on top of the official python:3.x-slim base image
bilibili视频【CUDA 12.1 并行编程入门(C++语言版)】配套代码
bilibili视频【CUDA 12.1 并行编程入门(Rust语言版)】配套代码
bilibili视频【CUDA 12.1 并行编程入门(Python语言版)】配套代码
This script will verify the Tensorflow is using your GPU. Also verifies Cuda/Cudnn/Driver versions are compatible by training a small convolutional neural net.
Deep learning in Rust, with shape checked tensors and neural networks
Setting up the NVIDIA Jetson Orin Nano Developer Kit
Mixed vision-language Attention Model that gets better by making mistakes
TensorRT implementation of the waifu2x super-resolution model for faster image and video upscaling.
Add a description, image, and links to the cudnn topic page so that developers can more easily learn about it.
To associate your repository with the cudnn topic, visit your repo's landing page and select "manage topics."