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nuget.org : diffsharp.backends.reference

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.backends.reference
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: 4
Downloads: 148,014 total
Stars: 605 on GitHub
Forks: 70 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 25 days ago

Top 9.8% on nuget.org
diffsharp-cuda-windows 1.0.7
DiffSharp is a tensor library with support for differentiable programming. It is designed for use...
189 versions - Latest release: almost 4 years ago - 1 dependent package - 123 thousand downloads total - 605 stars on GitHub - 2 maintainers
diffsharp-cuda-linux 1.0.7
DiffSharp is a tensor library with support for differentiable programming. It is designed for use...
184 versions - Latest release: almost 4 years ago - 1 dependent package - 99.5 thousand downloads total - 605 stars on GitHub - 2 maintainers
diffsharp-cpu 1.0.7
DiffSharp is a tensor library with support for differentiable programming. It is designed for use...
191 versions - Latest release: almost 4 years ago - 91.9 thousand downloads total - 605 stars on GitHub - 2 maintainers
diffsharp-lite 1.0.7
DiffSharp is a tensor library with support for differentiable programming. It is designed for use...
190 versions - Latest release: almost 4 years ago - 1 dependent package - 89.6 thousand downloads total - 607 stars on GitHub - 2 maintainers
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