shenweichen/DeepMatch
/DeepMatch
As an open-source project, shenweichen/DeepMatch has picked up 2.4k stars on GitHub (Python). A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
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How active is development on shenweichen/DeepMatch?
The most recent commit recorded on shenweichen/DeepMatch was 4 months ago, based on the GitHub push timestamp. The repository has 541 forks — one of the better signals of community interest.
How many stars does shenweichen/DeepMatch have?
shenweichen/DeepMatch has 2.4k GitHub stars — refresh the page for the live number, or check github.com/shenweichen/DeepMatch. TopGit mirrors GitHub's count but does not claim minute-by-minute accuracy.
What language is shenweichen/DeepMatch written in?
shenweichen/DeepMatch is written primarily in Python. GitHub's language field is based on the largest share of bytes in the default branch.
What license does shenweichen/DeepMatch use?
shenweichen/DeepMatch is released under the Apache-2.0 license. Always verify the LICENSE file directly on GitHub for the authoritative terms — license strings can be edited out of sync with a project's actual stance.
What topics is shenweichen/DeepMatch associated with?
GitHub's repository topics for shenweichen/DeepMatch: "collaborative-filtering", "comirec", "dssm", "factorization-machines", "matching", "mind", "recommendation", "youtubednn". TopGit's editorial category is open-source.
Where can I see shenweichen/DeepMatch in action?
The project maintains a homepage at https://deepmatch.readthedocs.io/en/latest/. The README tab on this page also usually contains screenshots and a quickstart.
Where do I read more about shenweichen/DeepMatch?
This TopGit page is a snapshot — the READ ME tab shows the project's own README content (links stripped, images preserved). The GitHub repository at github.com/shenweichen/DeepMatch is the definitive source.
Read full README in the tab above.
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