PyTorch Implementation of SDE Solvers Files

Differentiable SDE solvers with GPU support and efficient sensitivity

This is an exact mirror of the PyTorch Implementation of SDE Solvers project, hosted at https://github.com/google-research/torchsde. SourceForge is not affiliated with PyTorch Implementation of SDE Solvers. For more information, see the SourceForge Open Source Mirror Directory.

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Name	Modified	Size	InfoDownloads / Week
Parent folder
README.md	2020-10-22	330 Bytes	0
v0.2.1.tar.gz	2020-10-22	3.8 MB	0
v0.2.1.zip	2020-10-22	3.8 MB	0
Totals: 3 Items		7.6 MB	0

New features include - BrownianInterval: A Brownian motion data structure that has constant memory storage and exact queries relying on LRU caches - Basic solvers for Stratonovich SDEs - Full adjoint support for Ito and Stratonovich SDEs for all noise types declared in the codebase - Various Python performance enhancements

Source: README.md, updated 2020-10-22

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PyTorch Implementation of SDE Solvers Files

Differentiable SDE solvers with GPU support and efficient sensitivity

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