30 packages returned for Tags:"PyTorch"

.NET Bindings for Torch. Requires reference to one of libtorch-cpu, libtorch-cuda-11.7, libtorch-cuda-11.7-win-x64 or libtorch-cuda-11.7-linux-x64 version 1.13.0.1 to execute.

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and... More information

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and... More information

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and... More information

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 1.13.0 CUDA 11.7 support for Windows.

TorchSharp makes PyTorch available for .NET users. libtorch-cuda-11.3-win-x64 contains components of the PyTorch LibTorch library version 1.11.0 redistributed as a NuGet package with added support for... More information

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and... More information

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 1.13.0 CUDA 11.7 support for Linux.

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and... More information

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and... More information

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and... More information

TorchSharp makes PyTorch available for .NET users. libtorch-cpu-win-x64 contains components of the PyTorch LibTorch library version 1.13.0 redistributed as a NuGet package with added support for TorchSharp.

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and... More information

TorchSharp makes PyTorch available for .NET users. libtorch-cpu-linux-x64 contains components of the PyTorch LibTorch library version 1.13.0 redistributed as a NuGet package with added support for TorchSharp.

TorchSharp makes PyTorch available for .NET users. libtorch-cpu-osx-x64 contains components of the PyTorch LibTorch library version 1.13.0 redistributed as a NuGet package with added support for TorchSharp.

TorchSharp makes PyTorch available for .NET users. libtorch-cuda-11.1-win-x64 contains components of the PyTorch LibTorch library version 1.9.0 redistributed as a NuGet package with added support for... More information

TorchSharp makes PyTorch available for .NET users. libtorch-cuda-11.3-linux-x64 contains components of the PyTorch LibTorch library version 1.11.0 redistributed as a NuGet package with added support for... More information

TorchSharp makes PyTorch available for .NET users. libtorch-cpu contains components of the PyTorch LibTorch library version 1.13.0 redistributed as a NuGet package with added support for TorchSharp.

TorchSharp makes PyTorch available for .NET users. libtorch-cuda-11.1-linux-x64 contains components of the PyTorch LibTorch library version 1.9.0 redistributed as a NuGet package with added support for... More information

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 1.13.0 CPU support.