Zipstack / unstract
LLM-Driven Extraction of Unstructured Data β Built for API Deployments & ETL Pipeline Workflows
Zipstack / unstract
PrefectHQ / marvin
an ambient intelligence library
mangiucugna / json_repair
Repair malformed JSON from LLMs, APIs, logs, and user input in Python.
shcherbak-ai / contextgem
Extract structured data and insights from documents using LLMs and decision models
suzuran0y / CCTV-Smartphone-AI-Monitoring
ζ¬ε°ηζ§ + AI θ§θ§ β LAN-based smartphone-powered AI monitoring framework with structured event output for data acquisition and analysis.
OmniJev / awesome-jev-gallery
π₯π₯ Awesome Jev: open-source models, projects, benchmarks, and independent evaluations for Jev and System One models.
Heman10x-NGU / openJev-verdict-2.0
Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
aaddrick / building-with-typesafe-jev
Unofficial skill that teaches coding agents to build with TypeSafe AI's Jev: typed decisions, calibrated confidence, and prior art from 150+ community projects.
Heman10x-NGU / Verdict-open-jev
Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground
ikermoel / open-alternative-jev
Open-source alternative to TypeSafe's Jev: a System One style model layer that gives typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with honest benchmarks
PyModel / jev-judge-mcp
Typed judgment tools for MCP agents. TypeSafe's Jev model as verify, screen, find, classify, rerank, decide, compare, extract, review, gate, and score: the model judges, policy decides auto, review, or escalate.
intikhab49 / open-jev-typed-decision-engine
Open reproduction of TypeSafe Jev: a 150M typed decision engine (noul/choice/score in one non-autoregressive pass, calibrated confidence). 0.697 vs Jev's 0.727, 2.5x better calibrated, 4x faster, free. Trains on a Colab T4 in 30 min.