Tensor (nuget): Tensor (n-dimensional array) library for F#        Core features:         - n-dimensional arrays (tensors) in host memory or on CUDA GPUs          - element-wise operations (addition, multiplication, absolute value, etc.)         - basic linear algebra operations (dot product, SVD decomposition, matrix inverse, etc.)         - reduction operations (sum, product, average, maximum, arg max, etc.)         - logic operations (comparision, and, or, etc.)         - views, slicing, reshaping, broadcasting (similar to NumPy)          - scatter and gather by indices         - standard functional operations (map, fold, etc.)        Data exchange:         - read/write support for HDF5 (.h5)         - interop with standard F# types (Seq, List, Array, Array2D, Array3D, etc.)        Performance:         - host: SIMD and BLAS accelerated operations            - by default Intel MKL is used (shipped with NuGet package)           - other BLASes (OpenBLAS, vendor-specific) can be selected by configuration option         - CUDA GPU: all operations performed locally on GPU and cuBLAS used for matrix operations        Requirements:          - Linux, MacOS or Windows on x64         - Linux requires libgomp.so.1 installed.        Additional algorithms are provided in the Tensor.Algorithm package.
Keywords: Tensor|ndarray|array|MKL|SIMD|BLAS|CUDA|CUBLAS|HDF5