TensorFlow examples in C, C++, Go and Python without bazel but with cmake and FindTensorFlow.cmake
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Updated
Aug 18, 2019 - CMake
CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs.
TensorFlow examples in C, C++, Go and Python without bazel but with cmake and FindTensorFlow.cmake
Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):
CUDA based Iterative Closest Point Algorithm Implementation
A minimal cmake based project skeleton for developping a CUDA application
A DSL for Stencil Codes
Real-time 3D Reconstruction with Semantic Segmentation
Nonequispaced FFTs on GPUs (based on NFFT: http://www.nfft.org)
ROS Stereo Camera Package for NVIDIA Jetson
🖤 Template for starting HIP/C++ project using CMake with Github Action for CI.
a build / publishing / deployment / packaging system for C/C++ based on CMake and git
Basic MRTech IFF SDK sample application
Created by Nvidia
Released June 23, 2007