In the Crest catalog
jankrepl/deepdow
Portfolio optimization with deep learning.
- Stars
- 1.2K
- Forks
- 171
- Language
- Python
- Last push
- 3y ago
- Last release
- None recorded
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
Package · PyPI
deepdow
PyPI · v0.2.3 · Apache License 2.0
Portfolio optimization with deep learning
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
Install
pip install deepdowAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.09
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 1.6
- 6 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
- v0.2.3
- 6 versions
- First published
- APR 10, 2020
- Last release
- JAN 24, 2024
- 3y ago
- Licence
- Apache License 2.0
Repository
Dependencies latest version · v0.2.3
Runtime 10
- cvxpylayersAny version
- matplotlibAny version
- mlflowAny version
- numpy
>=1.16.5 - pandasAny version
- pillowAny version
- seabornAny version
- tensorboardAny version
- torch
>=1.5 - tqdmAny version
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Related news
No published news event mentions this package or its repository yet.