DocProduct
importedsoftware/docproduct
Medical Q&A with Deep Language Models
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- re-search
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/re-search/DocProduct
- Documentation
- unknown
- Tags
- artificial-intelligence · bert · deep-learning · gpt-2 · health · healthcare · machine-learning · medical
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- advanced-macro-calculatorhealth · healthcare · medical
An advanced macronutrient and calorie calculator to help achieve desired body composition.
- AI-Health-Stewardhealth · healthcare · medical
Self-hosted, private family AI health steward. Multimodal AI structures health data into a person-centric profile with dashboard & AI consultation (Feishu/Lark integration). 开源可私有化部署的家庭 AI…
- dicom_to_roshealth · healthcare · medical
ROS 2 pipeline that receives DICOM files over the network and translates them into standard ROS 2 topics
- humanapihealth · healthcare · medical
The easiest way to integrate health data from anywhere - https://www.humanapi.co
- mdtoolshealth · healthcare · medical
Free clinical calculators and medical reference tools for healthcare professionals. 100+ evidence-based tools including eGFR, BMI, A1C, MELD, CHA₂DS₂-VASc, and more.
- pill_checkerhealth · healthcare · medical
Provides a powerful medicine pack analysis using ML and NLP to achieve accurate recognition of active ingredients
- api.github.com/repos/re-search/DocProductretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-03-25, 571 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/28.json→ .entries["docproduct"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.