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  1. DiffSharp

    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.

Practical guides

What machine learning and optimization features does DiffSharp provide?
DiffSharp is a tensor library built for differentiable programming, and its machine learning and optimization features fall into four practical areas…
Where to Find DiffSharp Installation Instructions, Tutorials, and API Documentation
DiffSharp's official site (diffsharp.github.io) is the central hub for all three: the Install and Getting Started / Quickstart pages cover setup, the…
Why Does DiffSharp Use F# and How Similar Is Its API to PyTorch?
DiffSharp uses F# because its authors wanted a language that is concise like Python but generally faster and more robust for tensor programming, and …
How DiffSharp's Automatic Differentiation Compares to PyTorch and TensorFlow
DiffSharp supports nested and mixed-mode differentiation to arbitrary depth, including composable gradients, Hessians, Jacobians, directional derivat…
What Is DiffSharp and What Is It Used For?
DiffSharp is an open-source tensor library for differentiable programming, written in F# and built on a LibTorch (PyTorch C++/CUDA) backend. It is de…