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 installation instructions visit: https://diffsharp.github.io/
.NET Bindings for Torch. Requires reference to one of libtorch-cpu, libtorch-cuda-11.3, libtorch-cuda-11.3-win-x64 or libtorch-cuda-11.3-linux-x64 version 1.10.0.1 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 installation instructions visit: https://diffsharp.github.io/
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 installation instructions visit: https://diffsharp.github.io/
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 installation instructions visit: https://diffsharp.github.io/
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 installation instructions visit: https://diffsharp.github.io/
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 installation instructions visit: https://diffsharp.github.io/
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 installation instructions visit: https://diffsharp.github.io/
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 installation instructions visit: https://diffsharp.github.io/
TorchSharp makes PyTorch available for .NET users. libtorch-cpu contains components of the PyTorch LibTorch library version 1.10.0 redistributed as a NuGet package with added support for TorchSharp.
TorchSharp makes PyTorch available for .NET users. libtorch-cpu-win-x64 contains components of the PyTorch LibTorch library version 1.10.0 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 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 TorchSharp.
TorchSharp makes PyTorch available for .NET users. libtorch-cpu-osx-x64 contains components of the PyTorch LibTorch library version 1.10.0 redistributed as a NuGet package with added support for TorchSharp.
TorchSharp makes PyTorch available for .NET users. libtorch-cpu-linux-x64 contains components of the PyTorch LibTorch library version 1.10.0 redistributed as a NuGet package with added support for TorchSharp.
TorchSharp makes PyTorch available for .NET users. libtorch-cuda-11.3-win-x64 contains components of the PyTorch LibTorch library version 1.10.0 redistributed as a NuGet package with added support for TorchSharp.
