NumCpp
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dpilger26
C++ implementation of the Python Numpy library
Does NumCpp generates vectorized instructions (e.g. AVX512) after compiling with proper flags? NumPy is able to leverage performance benefits from SIMD (vectorized) instruction set as per this [link](https://numpy.org/devdocs/reference/simd/build-options.html).
Hi. feature: Adding CUDA support to numCPP, where classes and stuff will be same, but kernels are going to run on CUDA GPUs. Turns out, I already have a project...
**Describe the bug** Building any program with Numcpp that successfully builds produces 2900~ warning errors: /Users/libraries/NumCpp/include/NumCpp/Functions/add.hpp:42:23 Empty paragraph passed to '@param' command Continues on for 2900 times for I assume...
I am trying to do "one hot encoding". If value is 4, only column 4 should be set to 1, other columns remain 0. In python I can do this....
## Description `nc::linalg::pinv` results in error when calling it with non square matrix. ``` File: /usr/local/include/NumCpp/NdArray/NdArrayCore.hpp Function: dot Line: 2751 Error: shapes of [2, 9] and [2, 9] are not...
Hi: I'm planing to remake my Python ONNX Inference script into C++ version.Yet,a most important feature that Numcpp doesn't support:Which the top dimension that NumCpp is 2,but Numpy was N....
