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,...
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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.
Class library implementing advanced mathematical algorithms, transforms, and time series manipulations. Implementations favour simplicity and correctness.
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...
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