NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...
active 2023-10-20 → 2024-11-27 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 405 days from 2023-10-20 to 2024-11-27. Pushes: 8 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 1 total, peak 1 in a day. Stars: 2 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| juliensalinas | 10 | 8 | 0 | 1 |
| andreibondarev | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Releasejuliensalinas2024-11-27 09:10v1.0.46
- Issue comment#2juliensalinas2024-03-21 12:53Question: Which models can be used to generate embeddings?
- Issue#2juliensalinas2024-03-21 12:53Question: Which models can be used to generate embeddings?
- Issue#2andreibondarev2024-03-20 20:16Question: Which models can be used to generate embeddings?
- Releasejuliensalinas2024-03-12 10:54v1.0.45
- Releasejuliensalinas2023-11-10 09:38v1.0.44
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.