python-torchdiffeq 0.2.5-0.a88aac5

ODE solvers and adjoint sensitivity analysis in PyTorch

This tool provides ordinary differential equation solvers implemented in PyTorch. Backpropagation through ODE solutions is supported using the adjoint method for constant memory cost.

Outputs: out
Website: https://github.com/rtqichen/torchdiffeq
Licenses: Expat
Package source: gnu/packages/machine-learning.scm
Builds: See build status
Issues: See known issues

Installation

Install python-torchdiffeq 0.2.5-0.a88aac5 as follows:

guix install python-torchdiffeq@0.2.5-0.a88aac5

Or install the latest version:

guix install python-torchdiffeq

You can also install packages in augmented, pure or containerized environments for development or simply to try them out without polluting your user profile. See the guix shell documentation for more information.