Context_rank
Semantyc is a contextual mobile search engine that is user/ "People" centric and returns results to queries which is relevent and personalized to the user and is based on the meaning of the query of the user rather than the keywords in the query.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Datasets | 2,063 | a year ago | 4 | Jupyter Notebook | ||||||
| 🎁 4,800,000+ Unsplash images made available for research and machine learning | ||||||||||
| Domains | 508 | 6 months ago | 7 | bsd-3-clause | HTML | |||||
| World’s single largest Internet domains dataset | ||||||||||
| Idt | 206 | 3 years ago | 3 | October 19, 2020 | 2 | mit | Python | |||
| Image Dataset Tool (idt) is a cli tool designed to make the otherwise repetitive and slow task of creating image datasets into a fast and intuitive process. | ||||||||||
| Covidex | 128 | 2 years ago | 21 | mit | TypeScript | |||||
| A multi-stage neural search engine for the COVID-19 Open Research Dataset | ||||||||||
| Redisearch Getting Started | 128 | 6 months ago | 67 | Vue | ||||||
| A RediSearch tutorial to learn the basis of RediSearch module, with sample application in Java, Python and Node.js | ||||||||||
| Query Wellformedness | 63 | 6 years ago | 1 | |||||||
| 25,100 queries from the Paralex corpus (Fader et al., 2013) annotated with human ratings of whether they are well-formed natural language questions. | ||||||||||
| Q | 59 | 2 years ago | 7 | February 10, 2022 | 1 | apache-2.0 | Java | |||
| Query testing framework | ||||||||||
| Scfind | 36 | 2 years ago | gpl-3.0 | R | ||||||
| Auctus | 34 | a year ago | 13 | apache-2.0 | Python | |||||
| Dataset search engine, discovering data from a variety of sources, profiling it, and allowing advanced queries on the index | ||||||||||
| Mudrod | 16 | 6 years ago | 22 | apache-2.0 | Java | |||||
| Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access, online demo: https://mudrod.jpl.nasa.gov/#/ | ||||||||||
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Jupyter Notebook
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Semantic Web
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