torchsde 0.2.6_1

math/py-torchsde

SDE solvers and stochastic adjoint sensitivity analysis in PyTorch

Category: math
Maintainer: yuri@FreeBSD.org
WWW: https://github.com/google-research/torchsde
License: APACHE20
USES: python

Description

TorchSDE provides stochastic differential equation (SDE) solvers with GPU
support and efficient backpropagation in PyTorch.

Features:
- Multiple SDE solvers (Euler-Maruyama, Milstein, etc.)
- Efficient backpropagation through SDE solvers
- GPU acceleration
- Support for various noise types
- Latent SDE models for variational inference

Dependencies

build devel/py-build
build devel/py-installer
build devel/py-setuptools
build devel/py-wheel
build lang/python311
run devel/py-trampoline
run lang/python311
run math/py-numpy1
run misc/py-pytorch
run science/py-scipy

Commit History

may be incomplete — full history at freebsd-ports on GitHub

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