Topics / #calibration

Calibration projects on GitHub

As of October 18, 2026, the most-starred Calibration projects on GitHub are laya (33.4K stars), apollo (26.9K stars) and nimble (2.2K stars). GitHub.Locker tracks 13 Calibration repositories with 69K stars combined. The fastest-growing on October 17 was laya, with +100 stars in a day.

13Projects

69KStars in total

+264Stars in a day

Browse in the catalog →github.com/topics/calibration ↗

Hot right now

Most stars gained in a day · Oct 17

+100

laya

NandhaKishorM/laya · ★ 33.4K

Laya is a non-autoregressive decision engine: instead of generating text, it answers typed questions — multiple choice, a numeric score, or yes/no — about any text in a single forward pass, across 100+ languages. A built-in router detects the language and picks the right checkpoint per request.

+86

StartLux-Decision

StartLuxLabs/StartLux-Decision · ★ 648

StartLux-Decision is a family of typed decision models (five dense sizes from 0.8B to 27B plus a 35B-A3B mixture-of-experts) that answer a question with a probability for each option instead of generating text.

+43

AnyJev

nokia-applied-research/AnyJev · ★ 1.4K

A Python library that turns any open LLM into a Jev-style decision model: ask a typed question, get back a choice with a probability you can threshold — no generation, no parsing, no fine-tuning.

+20

Intern-Decision

InternLM/Intern-Decision · ★ 829

Intern-Decision turns a state, optional images, and multiple typed questions into decisions with probabilities, by fine-tuning the language backbone of Qwen3.5 while freezing its vision tower and projector.

The all-time top

13 projects · by stars

#1 · NandhaKishorM/laya
laya
Laya is a non-autoregressive decision engine: instead of generating text, it answers typed questions — multiple choice, a numeric score, or yes/no — about any text in a single forward pass, across 100+ languages. A built-in router detects the language and picks the right checkpoint per request.
33.4K
#2 · ApolloAuto/apollo
apollo
An open autonomous driving platform from Baidu: a high-performance, flexible software stack covering perception, prediction, planning and control, for developing, testing and deploying self-driving vehicles.
26.9K
#3 · bespokelabsai/nimble
nimble
Bespoke Nimble turns text plus a schema of questions into typed decisions: it picks one allowed answer per question and returns the probability of every option, in a single fast step. The repo shares the recipe and the trained Bespoke-Nimble-9B model.
2.2K

4
AnyJev
1.4Knokia-applied-research/AnyJev · Python
A Python library that turns any open LLM into a Jev-style decision model: ask a typed question, get back a choice with a probability you can threshold — no generation, no parsing, no fine-tuning.
5
decider
1.2KMapika/decider · Python
Decider is a family of language models fine-tuned from Qwen3.5 that don't generate text; instead they read a state plus a set of typed questions and return calibrated probability distributions for every question in one forward pass.
6
von
917wfzyx/von · Python
Von is an open-source, non-autoregressive decision model (395M parameters, 1.5 GB) that makes calibrated discrete, probabilistic, and ordinal decisions in a single forward pass in under 25 ms — a local, free alternative to the proprietary TypeSafe Jev.
7
Intern-Decision
829InternLM/Intern-Decision · Python
Intern-Decision turns a state, optional images, and multiple typed questions into decisions with probabilities, by fine-tuning the language backbone of Qwen3.5 while freezing its vision tower and projector.
8
StartLux-Decision
648StartLuxLabs/StartLux-Decision · Python
StartLux-Decision is a family of typed decision models (five dense sizes from 0.8B to 27B plus a 35B-A3B mixture-of-experts) that answer a question with a probability for each option instead of generating text.
9
awesome-jev
602kydlikebtc/awesome-jev · Python
A curated index of 1207 public resources for Jev, TypeSafe AI's System One decision model, organised by the decision each resource illustrates. It's an independent catalog, not the product or an SDK.
10
agent-jev
389malevrigns/agent-jev · Python
AgentJev-0.6B is a tiny 'System One' decision model for AI agent loops: you feed it unstructured state (diffs, traces, logs) plus structured boolean, choice, or score questions, and it returns calibrated probability distributions in one ~50ms forward pass without decoding any text.
11
awesome-jev-live
345wh000wh000/awesome-jev-live · Python
Awesome Jev Live is an evidence-graded index of projects built around Jev, TypeSafe AI's System One model — 836 entries covering SDKs, MCP tools, agents, apps and open models, published in 20 languages.
12
open-jev
134daseinlabs/open-jev · Python
An open implementation of Jev: a local Gemma 3 4B (via MLX) scores a list of pre-written options against a context in one batched forward pass on Apple silicon — no text generation, just log-probabilities per option.
13
Bud-Decision-Studio
110BudEcosystem/Bud-Decision-Studio · HTML
Bud Decision Studio is a cross-platform desktop app and local serving system for 'decision models' (Jev-like 'System One' models): you give it a situation and typed questions, and it returns a calibrated probability for every allowed answer instead of generated text.