nokia-applied-research/AnyJev
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
Topic: jev-model
108 repositories
v-modal/awesome-jev-tools
A curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions.
logicrw/awesome-jev-projects
Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync
clawdotnet/openclaw.net
Self-hosted Enterprise and Personal AI + agent runtime in .NET (NativeAOT-friendly)
walidboulanouar/awesome-jev-use-cases
Awesome list of TypeSafe AI Jev use cases: 74 demos ranked by likes, 150+ GitHub repos, limits, cost and API examples. CC0
Oqura-ai/deepdoc
Deep research tool for local knowledge base.
eullm/eullm
Open-source platform for creating, distributing and running sovereign EU-compliant LLMs. Verticalize any model for your domain, language and brand. AI Act ready.
shamspias/laya-bangla
A Bangla-focused adaptation of Laya for typed decisions, classification, and routing.
tshmieldev/sharp
Filter your X.com feed with Jev or any LLM
ankit-aglawe/tinyjev
A tiny jev-like model that answers Choice, Score and Noul questions in one forward pass and returns calibrated probabilities. MLX or PyTorch, fully offline, System One compatible.
SimpleJev/JevAny
Open infrastructure for training, evaluating, and deploying System 1 decision models across language and multimodal backbones.
j1s4nn/duomind
When Jev meets LLM -- Pair a small local LLM (System 2) with Jev model (System 1) to make small model more faster and accurate — OpenAI-compatible, private, and almost free to run in Kilo code and Cline.
alexgreensh/eval-genius
Teach your agent to work with evals: WHEN you actually need an eval or benchmark, HOW to build one that holds up, and how to read what it tells you. Deterministic-first, tool-agnostic.
ali-master/usejev
Run Laya locally with Bun: native ONNX inference, a TypeSafe-compatible API, and a bilingual decision playground.
AbdelStark/lejudge-jev-jepa
Natural-language constraints for JEPA world-model planning, judged by a decision model instead of an LLM.
2456868764/jevguide
Curated Jev showcases from X, organized by category with media previews and direct source links.
Jaluus/JevPertus
Fine-tuning Apertus with LoRA and a pointer head for Jev-Type multiple-choice question answering, with training, inference, and benchmark evaluation.
vij-sameerb5/JevX
When and Where Actually to use Jev in your code base.
cheeaun/jevmoji
Type anything. Get related emojis scored 0–3 with Jev.
ntlm1686/Your-language-model-is-already-a-decision-model
We compared unfinetuned Qwen with Jev on decision accuracy, calibration, and latency, and found comparable accuracy and lower average calibration error without decision-specific fine-tuning.
chris-wozniczek/jev-voice-control
Control your Mac by voice. Speech → Jev (TypeSafe AI System One model) typed decisions → macOS actions. Menu-bar Swift app.
rcarmo/go-system-one
when a gopher met Jev
dtunai/cu-Jev
cuda-Jev — a CUDA-native Jev System One decision inference engine. Jev compatible API, examples, and reproducible benchmarks.
jev-ai/jev-agent-skill
Jev AI agent skill for typed decisions
keta1930/what-the-jev
What can Jev actually do? Reproducible experiments and research reports exploring its capabilities and limits.
RileyCarney/JevTools
A lightweight collection of developer utilities and scripts designed to streamline Jev development process.
AnubhabBanerjee/Qwen-jev
Turns a small open-source Qwen LLM into a fast, single-pass classifier — swap the word-guessing head for a classification head, fine-tune only the head, then get instant labels + confidence instead of generated text. Includes training, inference, and int8 quantization scripts, plus a real demo: flagging Python functions whose names contradict code.
abhishek085/JevControl
Find out whether a smaller model could handle some of your AI agent’s routine choices.
BeyondModels/requirements-deep-agent
Security requirements analysis with JEV, LangChain Deep Agent review via LLM, and deterministic Python reporting
etShaw-zh/zotero-evidence
AI-assisted systematic literature reviews with traceable evidence.