HilaManor/CycleTransformer

Final assignment in the NLP course at the Technion (IEM097215). In this assignment we propose a novel architecture to handle both Text-to-Image translation and Image-to-Text translation tasks on paired data, using a unified architecture of transformers and CNNs and enforcing cycle consistency.

10
/ 100
Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 2 / 25
Maturity 8 / 25
Community 0 / 25

How are scores calculated?

Stars

2

Forks

Language

Python

License

Last pushed

Mar 15, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/HilaManor/CycleTransformer"

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