Sklearn To Ts
Train sklearn models (MLP, Random Forest, Linear Regression), export weights to JSON, and generate pure TypeScript inference code with zero npm dependencies. Handles the full pipeline: feature engineering, synthetic data generation, model training, weight export, and TypeScript codegen. The resulting model runs server-side (Node.js/Next.js) or client-side (browser) in <1ms with a ~10-50 KB weights file. No Python runtime, no ONNX, no TensorFlow.js needed at runtime.
Works with: Claude Code, Cursor, Claude Desktop, Codex CLI, Gemini CLI, Cline, Windsurf, VS Code
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- tashan score: 25.0
- Adoption: 1 repos
- Health: active
- GitHub stars: 0
- Contributors: 1
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source ↗ · plugin:tgkmeissner/sklearn-to-typescript-inference/sklearn-to-ts
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