{
 "schema_version": 1,
 "generated": "2026-10-20",
 "repo": "realmyang/MLView",
 "name": "MLView",
 "owner": "realmyang",
 "slug": "realmyang-mlview",
 "github": "https://github.com/realmyang/MLView",
 "what": "MLView is an experimental VS Code viewer and skill that lets a coding assistant turn an ML workflow into an interactive, source-linked diagram.",
 "why": "",
 "language": "Python",
 "requirements": [
  "Python 3.10+",
  "Node 20.18.1+",
  "VS Code",
  "A supported assistant: GitHub Copilot, Codex or Claude Code",
  "A target ML project to open in VS Code"
 ],
 "audience_note": "Best for ML engineers and researchers in VS Code who already use Codex, Claude Code or Copilot and want to understand or review a training workflow.",
 "risk": "none",
 "section": "earlier",
 "weekly_rank": null,
 "category": "Software and DevOps",
 "url": "https://dedupedai.com/use-cases/realmyang-mlview/",
 "use_case_count": 3,
 "use_cases": [
  {
   "id": "realmyang-mlview--explain-training-config-as-diagram",
   "title": "Turn a training config into a source-linked diagram",
   "best": true,
   "url": "https://dedupedai.com/use-cases/realmyang-mlview/explain-training-config-as-diagram/",
   "json": "https://dedupedai.com/use-cases/u/realmyang-mlview/explain-training-config-as-diagram.json"
  },
  {
   "id": "realmyang-mlview--review-diagram-claims-one-by-one",
   "title": "Check each diagram claim against its cited lines",
   "best": false,
   "url": "https://dedupedai.com/use-cases/realmyang-mlview/review-diagram-claims-one-by-one/",
   "json": "https://dedupedai.com/use-cases/u/realmyang-mlview/review-diagram-claims-one-by-one.json"
  },
  {
   "id": "realmyang-mlview--refine-diagram-after-code-changes",
   "title": "Update a workflow diagram after the code changes",
   "best": false,
   "url": "https://dedupedai.com/use-cases/realmyang-mlview/refine-diagram-after-code-changes/",
   "json": "https://dedupedai.com/use-cases/u/realmyang-mlview/refine-diagram-after-code-changes.json"
  }
 ],
 "disclaimer": "Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk."
}