9 packages returned for Tags:"Tensor"

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.

Automatic tensor conversion for .NET

.NET Core 2.0 port of the TensorFlow C# Library

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,... More information

The GH types wrappers fro the Owl framework

The core code of the Owl framework

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... More information

Class library implementing advanced mathematical algorithms, transforms, and time series manipulations. Implementations favour a good balance of low computational complexity and simplicity as opposed to trying to obtain every last bit of computational performance.