Forked from luniak.io/cuda-neural-network-implementation-part-1 He doesn't have a license in his repo so I am just putting my own BSD2Clause one here. If the original author has any issue with it please contact
$ git clone --recursive https://github.com/nvlabs/tiny-cuda-nn $cdtiny-cuda-nn Then, use CMake to build the project: (on Windows, this must be in adeveloper command prompt) tiny-cuda-nn$ cmake.-B build -DCMAKE_BUILD_TYPE=RelWithDebInfo tiny-cuda-nn$ cmake --build build --con...
Concise neural network with C++ and CUDA. Contribute to dwha/SimpleCudaNeuralNet development by creating an account on GitHub.
Contribute to DO-Ui/Neural-network development by creating an account on GitHub.
$ git clone --recursive https://github.com/nvlabs/tiny-cuda-nn $ cd tiny-cuda-nn Then, use CMake to build the project: (on Windows, this must be in a developer command prompt) tiny-cuda-nn$ cmake . -B build -DCMAKE_BUILD_TYPE=RelWithDebInfo tiny-cuda-nn$ cmake --build build...
$ git clone --recursive https://github.com/nvlabs/tiny-cuda-nn $ cd tiny-cuda-nn Then, use CMake to build the project: (on Windows, this must be in a developer command prompt) tiny-cuda-nn$ cmake . -B build -DCMAKE_BUILD_TYPE=RelWithDebInfo tiny-cuda-nn$ cmake --build build...
$ git clone --recursive https://github.com/nvlabs/tiny-cuda-nn $ cd tiny-cuda-nn Then, use CMake to build the project: (on Windows, this must be in a developer command prompt) tiny-cuda-nn$ cmake . -B build -DCMAKE_BUILD_TYPE=RelWithDebInfo tiny-cuda-nn$ cmake --build build...
$ git clone --recursive https://github.com/nvlabs/tiny-cuda-nn $ cd tiny-cuda-nn Then, use CMake to build the project: (on Windows, this must be in a developer command prompt) tiny-cuda-nn$ cmake . -B build tiny-cuda-nn$ cmake --build build --config RelWithDebInfo -j PyTorc...
$ git clone --recursive https://github.com/nvlabs/tiny-cuda-nn $ cd tiny-cuda-nn Then, use CMake to build the project: (on Windows, this must be in a developer command prompt) tiny-cuda-nn$ cmake . -B build tiny-cuda-nn$ cmake --build build --config RelWithDebInfo -j PyTorc...
git clone https://github.com/ANNetGPGPU/ANNetGPGPU.git Create a build directory, where your compiler stores the objects: cd ANNetGPGPU mkdir build cd build Run CMake and make to build. Dependent on the installed libraries, either all or just some example programs will be built: cmake ....