Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
Personal project: where shoppers look, estimated from an ordinary security camera and open source AI (YOLO11, Gaze-LLE, Depth Anything V2)
Teaching materials for a future Foundation of Embodied AI course, with Chinese and English tutorials on robot dynamics, Isaac Sim, Isaac Lab, MuJoCo, robot learning, ROS 2, camera calibration, PPO, SAC, Flow Matching, GR00T, and SONIC.
斑海豹 — Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions. 小海豹,大决断。
Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
Awesome Jev — evidence-graded index of TypeSafe System One: SDKs, MCP tools, agents, apps and open models. 20 languages, rebuilt every 2 hours.
JevBench by Benchmark Heaven: benchmark and leaderboard for AI decision models, measuring typed decision accuracy, calibration, latency and cost.
Local decision engine with typed, calibrated outputs (Noul/Choice/Score): cheap→strong cascade, ECE/Brier calibration, SystemOne protocol interop. Apache-2.0.
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An efficient and robust multisensor-aided inertial navigation system with online calibration that is capable of fusing IMU, camera, LiDAR, GPS/GNSS, and wheel sensors. Use cases: VINS/VIO, GPS-INS, LINS/LIO, multi-sensor fusion for localization and mapping (SLAM). This repository also provides multi-sensor simulation and data.
1207 public resources for Jev, TypeSafe AI's System One decision model, indexed by decision pattern. Source citations, dated link checks and scheduled call-site text checks; runtime and performance are not independently tested here. EN/中文, JSON schema and platform compatibility.
JevK5: open-weight alternative to TypeSafe Jev. Typed decisions with probabilities in one forward pass; Apache-2.0 weights and code.
Turn real-estate listing photos into a 3D house model and a cinematic walkthrough video. Photo camera solving, procedural Blender (bpy) modeling, virtual staging, headless Cycles rendering and photo-vs-render comparison films.
MSLA/DLP, file analysis, calibration, repair, conversion and manipulation
Control monitor settings using DDC/CI and USB
Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollama for decision models.
Klipper plugin for self-calibrating z-offset
Fast computer vision library for SFM, calibration, fiducials, tracking, image processing, and more.
GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024)
自动驾驶笔记,以解析各模块知识点、整合行业优秀解决方案进行阐述,以帮助自己及有需要的读者;包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容.
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
BMCU 370C (Hall) firmware for Bambu Lab A1 / A1 mini / P1S with buffer calibration - all known issues fixed, 100% AMS-compatible behavior.
Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R
Object-based audio engine and codec pack with Dolby Atmos rendering, room correction, HRTF, one-click Unity audio takeover, and much more.
A generic and robust calibration toolbox for multi-camera systems
🔥🔥 Awesome Jev: open-source models, projects, benchmarks, and independent evaluations for Jev and System One models.
Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
🚀🚀 A multimodal System One decision model that gives calibrated answers to typed questions about screens, photos, video and text in one forward pass.
An open training and inference stack for Jev-style decision models. Train models to score dynamic candidate branches from a shared prefix, with support for high-cardinality choice, calibration, and fast batched inference.
Unofficial skill that teaches coding agents to build with TypeSafe AI's Jev: typed decisions, calibrated confidence, and prior art from 150+ community projects.
Reproducible MATLAB behavioral model for TI-ADC mismatch generation, spectral validation, and calibration benchmarking.
Full-weight Qwen decision model with calibrated probabilities, training code, REST API, and playground.
Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground
Get more intelligence from every bit. Better quantization formats and smarter calibration let larger, stronger models run smoothly on the hardware you already own.
Long video in, scored vertical clips out — the clipper that shows its work. Local-first OpusClip alternative: speaker-tracked camera, styled captions, auditable virality scoring, Instagram outcome calibration.
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
Sonarworks SoundID Reference 2026: Pro Audio Calibration Guide for Windows 11
Knowledge-graph RAG built from structured metadata instead of LLM extraction. 929M edges, zero LLM calls, 83.2% on held-out PubMedQA. Case study: the full PubMed 2026 baseline.
BidKing product source, self-hostable service components, and a standalone discrete-inference toolkit. MIT-licensed first-party code.
SWFOC Save Editor and Trainer Suite 2026: Profile-Driven Mod Menu for AOTR and ROE
Measured SDR display calibration for Retroid Pocket Nova, with native profile persistence and no background service.
Measure your speakers with a microphone and generate a validated, protective parametric calibration for the Omarchy bar.
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.
Open, calibrated, single-pass typed-decision models (4B & 27B) for finance and trading
九号电动车BFG计量模块电量校准研究项目
Open, calibrated System 1 decision models: typed choice / score / yes-no answers with a probability for every option. 400M to 80B; CPU, NVIDIA, Apple Silicon, LM Studio, Ollama and vLLM.
Open source Rust firmware for the KOWSI KWS-X1 USB-C meter. Live power, Ah/Wh counting, power graph, ripple view, the charger's full USB PD offer (EPR included), fixed, PPS and AVS triggers up to 28/30 V, Quick Charge 2.0/3.0, Huawei SCP and FCP, cable e-marker reading, a 5 A test, PD sniffing and calibration. No vendor firmware needed.
Calibrate Jev questions against your own labels: tune criteria on labelled examples, confirm on a held-out set, get a verdict per question. Unofficial.
ECU Lab — an engine management and tuning simulator created by CaribouTuning. Design an engine, edit the calibration tables a real tuner edits, run a dyno pull, and read a log explaining what went right or wrong. Repo and tooling by Turtle.GTI.
Ask an open vision-language model typed questions about an image and get probabilities back, on your own machine.
Steam Controller Sticks Calibration Tool
Independent, evidence-based map of when TypeSafe's Jev actually holds up vs. breaks down — real API-call receipts, not a leaderboard. 中文為主的雙語 repo。
SilverFast HDR Scanning Studio Premium - Local Windows build featuring every professional module and a simple install routine.
Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
Verify the context you feed your AI agents, against the web or your own documents.
Codex Skills for version-pure PFC2D/PFC3D 5.0 asphalt-mixture modeling, FISH scripting, calibration, Burger contacts, Marshall and rutting tests, and reproducible post-processing.
Official implementation of SOVA: Strict Outcome-Conditioned Virtual Advantages for Video Reasoning. Correctness-oriented calibration for TW-GRPO without extra rollouts.
A local art workbench for Don't Starve Together characters: layered drawing, binding calibration, native animation review and build export.