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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/

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purl: pkg:nuget/diffsharp-cuda-linux
Keywords: F# , fsharp , ML , AI , Machine , Learning , PyTorch , Tensor , Automatic , Differentiation , Gradients , Differentiable , Programming , autodiff , deep-learning , dotnet , gpu , machine-learning , neural-network , tensor
License: BSD-2-Clause
Latest release: almost 4 years ago
First release: over 5 years ago
Dependent packages: 1
Downloads: 99,466 total
Stars: 605 on GitHub
Forks: 70 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 16 days ago

diffsharp-cuda 1.0.7
DiffSharp is a tensor library with support for differentiable programming. It is designed for use...
16 versions - Latest release: almost 4 years ago - 15.1 thousand downloads total - 605 stars on GitHub - 2 maintainers
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