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A framework for building decision-model harnesses for any kind of task. Your program offers the model a short list of next steps, and the model picks one at a time until it can answer.

  • classifiers
  • decision-models
  • evals
  • llm-harness

Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.

A 4B grounding foundation model for physical intelligence. Unifies detection, referring, pointing, OCR, GUI, and layout grounding, achieving SOTA overall across 34 benchmarks and improving robot generalization and data efficiency in controlled evaluations.

A Claude skill for directing, building and verifying code-rendered videos (HTML/Canvas → MP4): principles, gated workflow, QA scripts and evals.

Runtime parser for string expressions (formulas, method calls). Builds dynamic LINQ expression tree and compiles it to lambda delegate.

  • evalexpr
  • evaluator
  • dot-net
  • dotnetcore

TranslatedHelixHarness provides complete foundational capabilities for AI Coding engineering, and also supports different enterprises and teams in combining their own business knowledge, engineering standards, and R&D processes to continuously build and evolve their own dedicated Harness