Word2vec Bias Extraction
How are words loaded with meaning? Repository accompanying research by Alina Arseniev-Koehler and Jacob G. Foster, titled "Machine learning as a model for cultural learning: teaching an algorithm what it means to be fat." https://journals.sagepub.com/doi/full/10.1177/0049
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Health_monitor | 84 | 16 | 14 years ago | 5 | January 28, 2010 | mit | Ruby | |||
| Monitor individual aspects of your rails application's health | ||||||||||
| Word2vec Bias Extraction | 35 | 9 months ago | Jupyter Notebook | |||||||
| How are words loaded with meaning? Repository accompanying research by Alina Arseniev-Koehler and Jacob G. Foster, titled "Machine learning as a model for cultural learning: teaching an algorithm what it means to be fat." https://journals.sagepub.com/doi/full/10.1177/00491241221122603 | ||||||||||
| High Health | 14 | 8 years ago | 1 | Scala | ||||||
| Integrate the GA4GH schemas and probably a scala impl of the service. | ||||||||||
| Example Health Synthea | 13 | 4 years ago | apache-2.0 | Java | ||||||
| Example Health is a conceptual healthcare/insurance type company. This repository contains the tools we used to populate the databases with synthesized patient data. | ||||||||||
| Schemed | 10 | 8 years ago | 1 | Batchfile | ||||||
| Healthcare Schema Vocabulary | ||||||||||
| Schema | 6 | 5 years ago | ||||||||
| Health JSON Schema | ||||||||||
| Blue Button Model | 5 |  | 8 | 8 | a year ago | 29 | February 22, 2017 | 2 | apache-2.0 | JavaScript |
| Blue Button Model Validation | ||||||||||
| Medbiq | 5 | 2 years ago | 1 | HTML | ||||||
| MedBiquitous schemas and specifications | ||||||||||
| Rats In The Restaurants | 5 | 4 years ago | Jupyter Notebook | |||||||
| A group project that analyzes data on restaurant inspections and violations as well as community health in Los Angeles and uses a machine learning model to predict whether a restaurant is likely to have a health violation. | ||||||||||
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