Alternatives and similar repositories for CUDA-programming-tutorial:

Users that are interested in CUDA-programming-tutorial are comparing it to the libraries listed below

• mikeroyal / CUDA-Guide
  CUDA Guide
  ☆64Updated last year
• CMU-IDeeL / CMU-IDeeL.github.io
  11-785 Introduction to Deep Learning (IDeeL) website with logistics and select course materials
  ☆41Updated this week
• puttsk / cuda-tutorial
  A set of hands-on tutorials for CUDA programming
  ☆220Updated last year
• sorush-khajepor / pybind11-robot
  A detailed conversion of a C++ project to Python using pybind11
  ☆18Updated 3 years ago
• NVIDIA / free-threaded-python
  No-GIL Python environment featuring NVIDIA Deep Learning libraries.
  ☆59Updated 2 weeks ago
• ysh329 / OpenMP-101
  Learn OpenMP examples step by step
  ☆92Updated 3 months ago
• alexzhang13 / Triton-Puzzles-Solutions
  Personal solutions to the Triton Puzzles
  ☆18Updated 9 months ago
• amirabbasasadi / RockyML
  ⛰️ RockyML - A High-Performance Scientific Computing Framework for Non-smooth Machine Learning Problems
  ☆19Updated 2 years ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆42Updated last year
• PacktPublishing / Learning-CUDA-10-Programming
  Learning CUDA 10 Programming, published by Packt
  ☆42Updated 2 years ago
• pkestene / pybind11-cuda
  ☆22Updated 11 months ago
• ahennequ / cuda-tensorcores-register-mapping
  ☆18Updated 2 years ago
• smrfeld / cmake_cpp_pybind11_tutorial
  Tutorial for wrapping C++ library into Python using pybind11 and CMake
  ☆143Updated last year
• CisMine / Guide-NVIDIA-Tools
  NVIDIA tools guide
  ☆129Updated 3 months ago
• Foundations-of-HPC / Foundations_of_HPC_2021
  This repository collects the materials from the course "Foundations of HPC", 2021, at the Data Science and Scientific Computing Departmen…
  ☆23Updated 2 years ago
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆51Updated 3 weeks ago
• ThoenigAdrian / NeuralNetworksCudaTutorial
  Implement Neural Networks in Cuda from Scratch
  ☆23Updated 11 months ago
• Physics-aware-AI / DiffCoSim
  By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …
  ☆35Updated 2 years ago
• openhackathons-org / nways_accelerated_programming
  N-Ways to GPU Programming Bootcamp
  ☆83Updated 6 months ago
• pengyan510 / torcheck
  ☆38Updated 2 years ago
• PatWie / cuda-design-patterns
  Some CUDA design patterns and a bit of template magic for CUDA
  ☆150Updated last year
• CoffeeBeforeArch / cpp_from_scratch
  Examples from the "C++ From Scratch" Series
  ☆77Updated 2 years ago
• shashankprasanna / pytorch-examples
  A repository of PyTorch example
  ☆9Updated 2 years ago
• openhackathons-org / AI-Profiler
  This material contains content on how to profile and optimize simple Pytorch mnist code using NVIDIA Nsight Systems and Pytorch Profiler
  ☆12Updated last year
• Chillee / CS344_2021
  Udacity CS344 Introduction to Parallell Programming (https://classroom.udacity.com/courses/cs344), with assignments/materials updated to …
  ☆46Updated 3 years ago
• alifahrri / nmtools
  A generic, composable multi-dimensional array library.
  ☆12Updated last week
• BobMcDear / neural-network-cuda
  Neural network from scratch in CUDA/C++
  ☆78Updated 3 months ago
• google / jaxonnxruntime
  A user-friendly tool chain that enables the seamless execution of ONNX models using JAX as the backend.
  ☆110Updated last week
• NVIDIA / numbast
  Numbast is a tool to build an automated pipeline that converts CUDA APIs into Numba bindings.
  ☆44Updated this week
• uscresl / prob-diff-sim
  Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation
  ☆9Updated 2 years ago