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Jev project · Community additions

Jev vs. ML

QuicqDev/Jev-vs-ML

Compares a typed decision model with classical classification pipelines across eight datasets, with a published protocol and an interactive report.

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GitHub stars
13 as of 2026-09-22
Forks
0
Language
Jupyter Notebook
License
Check upstream
Created
2026-09-20
Last updated on GitHub
2026-09-22
Built by this organization
Quicq Dev

What Jev does in Jev vs. ML

The project describes itself this way: Compares a typed decision model with classical classification pipelines across eight datasets, with a published protocol and an interactive report. In the Community additions category, Jev typically decides a single well-defined judgment, such as a label, a score or a yes/no check.

Verification

Verified. We confirmed this repository and its Jev relevance through the GitHub API and the source lists below. A specific file link has not been recorded yet.

How Community additions projects use Jev

Projects added from community lists and direct submissions. Many are small, single-purpose experiments, which makes them some of the easiest places to see how a Jev question is framed in real code.

Related Jev projects in Community additions

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  5. FastJevchengyongru/fastjevLocal runtime: self-hosted Python SDK and System One-compatible API for runtime-defined `Choice`, `Boolean`, and `Score` decisions on pinned open models across Torch, vLLM, MLX, llama.cpp, and WebGPU, with committed row-level benchmarks and checksums.★ 12
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Where we found it