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rehab-self-learning

imported

software/rehab-self-learning

康复专业自学指南 — 参考 CS 自学指南,为康复医学、运动康复、物理治疗等专业提供系统性自学路线图与资源汇总

Machine-generated from the listed sources and not yet reviewed by a human.

rehab-self-learning project image
GitHub preview card for etherealstarry/rehab-self-learning. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
medical-education · open-education · physical-therapy · rehabilitation · self-learning
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • MRzero-Coreself-learning

    Python package and documentation for MR-zero

  • Clinic-Physiotherapyrehabilitation

    Clinic of physiotherapy and sports rehabilitation

  • RehabMaterehabilitation

    復健幫手 — a tiny 3D body pain-mapping tool for rehab clinics: patients tap where it hurts, doctors get a clean list. One HTML file, three.js, no build.

  • TalkAndPlayrehabilitation

    Talk and Play is a system that allows people with disabilities to communicate, play games, listen to music, watch movies, and train for a quicker rehabilitation.

  • Simulate and edit the 12306 train ticket page UI with a pure frontend HTML app that replicates official layout and supports visual ticket editing.

  • Anatria-3Dmedical-education

    Local-first 3D anatomy atlas with an AI tutor that drives the viewport. Male and female atlases, 3,697 structures, works offline, Apache-2.0.

sources
  1. api.github.com/repos/etherealstarry/rehab-self-learning
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-06-28, 3 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 →

machine-readable

/v1/entries/17.json→ .entries["rehab-self-learning"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.