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Achievement: Starstruck

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allebee/README.md

AI/ML Enthusiast

I trained and released speech recognition models for Kazakh, Russian, and mixed speech. Kazakh is still underrepresented in open STT, and real conversations switch languages. The model card includes results and limitations; the CPU inference example runs short recordings.

More projects

  • JevK5 — an open-weight Jev alternative for typed decisions; #2 of 76 on JevBench v1.4.
  • pytest-jev — tests whether an LLM response makes the claims you expect.
  • jevgrep — filters live logs by meaning using plain-English questions.

If you try the speech model on real Kazakh or mixed-language audio, I'd like to hear where it fails. Report an STT example or reach me on LinkedIn.

Pinned Loading

  1. jevk5 jevk5 Public

    JevK5: open-weight alternative to TypeSafe Jev. Typed decisions with probabilities in one forward pass; Apache-2.0 weights and code.

    Python 42 4

  2. jevgrep jevgrep Public

    CLI that filters logs and text by meaning using plain-English yes/no questions and Jev probabilities.

    Python 1

  3. pytest-jev pytest-jev Public

    Pytest plugin for semantic assertions on LLM output using Jev's calibrated probabilities.

    Python 2 1

  4. canvas-copilot canvas-copilot Public

    Backend and Google Meet extension for an AI brainstorming canvas that suggests spatial edits for human approval.

    Python