fast-neural-style and fast-style-transfer
These are competitors—both are independent PyTorch implementations of the same fast neural style transfer algorithm, so users would typically choose one based on code quality, documentation, and maintenance rather than use them together.
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
23/25
Maintenance
0/25
Adoption
7/25
Maturity
9/25
Community
16/25
Stars: 429
Forks: 83
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 29
Forks: 6
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stale 6m
No Package
No Dependents
Stale 6m
No Package
No Dependents
About fast-neural-style
abhiskk/fast-neural-style
pytorch implementation of fast-neural-style
About fast-style-transfer
igreat/fast-style-transfer
PyTorch implementation of the fast neural style transfer paper 🏎💨🖌️🎨🧠
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