# KRR-Oxford/DeepOnto

<https://repo.masters-masters.com/en/repos/KRR-Oxford/DeepOnto>

[Home](https://repo.masters-masters.com/en) › [KRR-Oxford](https://repo.masters-masters.com/en/owners/KRR-Oxford) › [DeepOnto](https://repo.masters-masters.com/en/repos/KRR-Oxford/DeepOnto)

KRR-Oxford/DeepOnto has 328 stars on GitHub. Its RepoMasters card: Alpha tier. A package for ontology engineering with deep learning and language models.

| Field | Value |
| --- | --- |
| Owner | [KRR-Oxford](https://repo.masters-masters.com/en/owners/KRR-Oxford) |
| Stars | 328 |
| Forks | 30 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | ontologies, ontology-engineering, owlapi, deep-learning, language-model |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [KRR-Oxford/DeepOnto](https://github.com/KRR-Oxford/DeepOnto) |

## Repository

A package for ontology engineering with deep learning and language models.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by KRR-Oxford

- [KRR-Oxford/OWL2Vec-Star · ★ 119 · Python · Prototype](https://repo.masters-masters.com/en/repos/KRR-Oxford/OWL2Vec-Star)

## Nearby in Python

- [skJack/kelip-paper-reading · ★ 328 · Python · Alpha](https://repo.masters-masters.com/en/repos/skJack/kelip-paper-reading)
- [YuriyLin/PaperRead · ★ 328 · Python · Alpha](https://repo.masters-masters.com/en/repos/YuriyLin/PaperRead)
- [crhywun/gpt-subscribe-studio-1 · ★ 328 · Python · Alpha](https://repo.masters-masters.com/en/repos/crhywun/gpt-subscribe-studio-1)
- [weecology/retriever · ★ 328 · Python · Alpha](https://repo.masters-masters.com/en/repos/weecology/retriever)
- [replit-archive/empythoned · ★ 328 · Python · Alpha](https://repo.masters-masters.com/en/repos/replit-archive/empythoned)
- [radlab/sparrow · ★ 328 · Python · Alpha](https://repo.masters-masters.com/en/repos/radlab/sparrow)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
