python-torchdiffeq
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.
- Versions: 0.2.5-0.a88aac5
- 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 the latest version of python-torchdiffeq as follows:
guix install python-torchdiffeq
Or install a particular version:
guix install python-torchdiffeq@0.2.5-0.a88aac5
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.
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