A simple bash script for switching between installed versions of CUDA.
-
Updated
Dec 19, 2018 - Shell
A simple bash script for switching between installed versions of CUDA.
Deep learning in Rust, with shape checked tensors and neural networks
Thin, unified, C++-flavored wrappers for the CUDA APIs
Safe rust wrapper around CUDA toolkit
VGG-19 deep learning model trained using ISCX 2012 IDS Dataset
Julia support for native CUDA programming
GitHub Action to install CUDA
Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line
CUDAfy .NET allows easy development of high performance GPGPU applications completely from the .NET. It's developed in C#.
Openshift resources
HTML/JS port of CUDA Occupancy Calculator
Tutorial to install NVIDIA Drivers, CUDA 11.4 and cuDNN for deep learning programming on Ubuntu 20.04.
AWS CloudFormation templates to provision Linux or Windows EC2 instances with GUI running NICE DCV remote display server. Includes option to install GPU drivers
Generate and explore fractals with Python and CUDA
A basic jupyterhub with Nvidia GPU accessibility.
Multi-Instrument music generation using C-RNN-GAN with MIDI format input 🎼
Comparison of Dataframe libraries for parallel processing of large tabular files on CPU and GPU.
CUDA Programming Practices
Pollard Rho Kangaroo Elliptic Curve Discrete Logarithm Problem (ECDLP).
Dockerfile for creating a docker image with default configurations for Deep Learning tasks
Add a description, image, and links to the cuda-toolkit topic page so that developers can more easily learn about it.
To associate your repository with the cuda-toolkit topic, visit your repo's landing page and select "manage topics."