Neural networks applied in recognizing guitar chords using python

Chords.py Neural networks applied in recognizing guitar chords using python, AutoML.NET with C# and .NET Core The demo application is written in C# with .NETCore. As of July 9, 2020, the only version available is for windows 10 64 bits. Versions for Linux are expected to come as a console application. Installing the application. The demo app uses AutoML .NET as the default prediction engine and ONNX runtime as the legacy prediction engine to run the exported model created on […]

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Simple (and extensible) python3 externals for maxmsp

py-js: python3 objects for max Simple (and extensible) python3 externals for MaxMSP. Quickstart WARNING this is pre-alpha software. If you are interested to try this out, please note that the current implementation only works on MacOS right now, and requires a compiler to be installed on your system (xcode or the commandline tools via xcode-select –install and that the default build script uses your existing homebrew installed python (currently 3.9.2) and assumes you have already pip installed cython (more detailed […]

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Several simple examples for popular neural network toolkits calling custom CUDA operators

Neural Network CUDA Example Several simple examples for neural network toolkits (PyTorch, TensorFlow, etc.) calling custom CUDA operators. We provide several ways to compile the CUDA kernels and their cpp wrappers, including jit, setuptools and cmake. We also provide several python codes to call the CUDA kernels, including kernel time statistics and model training. For more accurate time statistics, you’d best use nvprof or nsys to run the code. Environments NVIDIA Driver: 418.116.00 CUDA: 11.0 Python: 3.7.3 PyTorch: 1.7.0+cu110 TensorFlow: […]

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