jchenghu/ExpansionNet_v2

Implementation code of the work "Exploiting Multiple Sequence Lengths in Fast End to End Training for Image Captioning"

/ 100

Emerging

No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 9 / 25

Maturity 16 / 25

Community 20 / 25

Stars

Forks

Language

Python

License

MIT

Category

Last pushed

Dec 25, 2024

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/jchenghu/ExpansionNet_v2"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

bobbens/sketch_simplification

Models and code related to sketch simplification of rough sketches.

tonybeltramelli/pix2code

pix2code: Generating Code from a Graphical User Interface Screenshot

emilwallner/Screenshot-to-code

A neural network that transforms a design mock-up into a static website.

MiteshPuthran/Image-Caption-Generator

The LSTM model generates captions for the input images after extracting features from...

hlamba28/Automatic-Image-Captioning

Generating Captions for images using Deep Learning