Top 20 NuGet tensor Packages

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, mat...
Class library implementing advanced mathematical algorithms, transforms, and time series manipulations. Implementations favour simplicity and correctness.
The only .NET tensor & matrix library for generic types. It is also faster than other generic-typed matrix libraries.
FaceONNX core library for tensor processing and drawing recognition results.
The GH types wrappers fro the Owl framework
Tensor class which represents and extends multi-dimensional arrays
An extended version of the Array to accelerate operation, easy to use, multi dimensional. With SuperchargedArray.Accelerated namespace you will unlock SIMD potential to run the Array operation on any hardware like Intel CPU/GPU, NVIDIA, AMD etc.
Torch.NET brings the awesome Python package PyTorch to the .NET world. PyTorch offers Tensor computations and more with efficient GPU or multi-core CPU processing support and is to be considered one of the fundamental libraries for scientific computing, machine learning and AI in Python. Torch.NET e...
Automatic tensor conversion for .NET
TensorSharp is an open source library providing efficient N-dimensional arrays for .NET. Currently, there are backends for running tensor computations on the CPU, and on CUDA GPU hardware. The library is designed to be efficient, easy to install/deploy, and simple to extend. The implementations of m...
The core code of the Owl framework
TensorSharp is an open source library providing efficient N-dimensional arrays for .NET. Currently, there are backends for running tensor computations on the CPU, and on CUDA GPU hardware. The library is designed to be efficient, easy to install/deploy, and simple to extend. The implementations of m...
.NET Core 2.0 port of the TensorFlow C# Library
Torch7-style tensors and operations on them for C#. All operations are implemented in native code, even the CPU-only [no GPU support] version is extremely fast.