Package · PyPI
torchdiffeq
PyPI · v0.2.5 · MIT License
ODE solvers and adjoint sensitivity analysis in PyTorch.
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Technologies
Install
pip install torchdiffeqAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.13
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 1.9
- 9 versions over its life
Growth by period
PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
- 7 days
- Not published by PyPI
- Not published
- 30 days
- Not published by PyPI
- Not published
- 90 days
- Not published by PyPI
- Not published
- 1 year
- Not published by PyPI
- Not published
Adoption history
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
Facts from the registry
- Latest version
- v0.2.5
- 9 versions
- First published
- APR 3, 2020
- Last release
- NOV 21, 2024
- 23mo ago
- Licence
- MIT License
Repository
Not in the Crest catalog
rtqichen/torchdiffeq (GitHub, opens in a new tab)
The catalog tracks GitHub repositories with more than 500 stars; this one has no Crest page, so its figures are not shown here.
Dependencies latest version · v0.2.5
Runtime 2
- scipy
>=1.4.0 - torch
>=1.5.0
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Related news
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