132 results for “topic:cuda-toolkit”
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
Deep learning in Rust, with shape checked tensors and neural networks
Safe rust wrapper around CUDA toolkit
Thin, unified, C++-flavored wrappers for the CUDA APIs
A simple bash script for switching between installed versions of CUDA.
Julia support for native CUDA programming
GitHub Action to install CUDA
Go bindings for the CUDA Driver and Runtime APIs, cuBLAS, and cuDNN.
VGG-19 deep learning model trained using ISCX 2012 IDS Dataset
Diagnose and Fix CUDA / GPU environments compatibility issues locally, in Docker, and CI/CD. CLI + MCP server available.
Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line
CUDA Guide
CUDAfy .NET allows easy development of high performance GPGPU applications completely from the .NET. It's developed in C#.
Install CUDA on Windows11 using WSL2
Tutorial to install NVIDIA Drivers, CUDA 11.4 and cuDNN for deep learning programming on Ubuntu 20.04.
Multi-Instrument music generation using C-RNN-GAN with MIDI format input 🎼
Installation guide for NVIDIA driver, CUDA, cuDNN and TensorRT
manylinux docker images with CUDA Toolkit
A light-weighted and flexible C++ differentiable programming library. Just replace float and double with it, and it does Auto-Grad for you...
A basic jupyterhub with Nvidia GPU accessibility.
CUDA Programming Practices
Generate and explore fractals with Python and CUDA
Fundamentals of heterogeneous parallel programming with CUDA C/C++ at the beginner level.
Openshift resources
CUDA Programming Starter Kit for VSCode and CLion
Install script for mxnet
No description provided.
A fun small project used to practice some CUDA. And to see some sweet fractal ass (don't quote me on that)
A developer oriented Neovim framework for CUDA performance profiling and analysis.
Dockerized TensorFlow with GPU support Image, python library with Jupyter environments enabled ready