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

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
- Jev Directoryeveryai-com/jev-directoryRunnable evals and community builds, also served to agents as an MCP server and an `llms.txt` index.★ 13
HTML - jev-rerankerhotchpotch/jev-rerankerRetrieval and RAG: uses Jev Noul judgments to assess retrieved documents for relevance and usefulness as answer evidence, then sorts results and optionally filters them using a configurable threshold.★ 13
Python
Jev Tetristrungdq88/jev-tetrisTwo models play Tetris on a shared seeded piece sequence under the same clock; a piece that lands before the answer arrives locks where it fell. No licence file.★ 13
JavaScript- hunchcarldaws/hunchRuby ecosystem: turns judgment calls into control flow — `if Hunch.likely?("fraudulent", given: order)` reads like plain Ruby but branches on a typed Jev answer, with `pick` for Choice, `rate` for Score, and graded predicates from `possibly?` to `definitely?`.★ 14
Ruby - 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
Python - jev-ultralightspeedcollapseindex/jev-ultralightspeedPacks many items into one Jev request for bulk classification. If any item in a pack comes back unanswered it raises and names the item rather than returning a partial result.★ 12
Python