Phocinae / Phocinae-Largha-150M-v1
ζζ΅·θ±Ή β Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions. ε°ζ΅·θ±ΉοΌε€§ε³ζγ
Phocinae / Phocinae-Largha-150M-v1
jiwidi / jiwo
Small decision models (jev style) for latency critical scenarios
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.
denis-pplx / autojev
Full-weight Qwen decision model with calibrated probabilities, training code, REST API, and playground.
oleost / VisionState
Turn your cameras into Home Assistant sensors with a local AI: garage door open/closed, people and cars, water, gas and power meters read by any camera or ESP32-CAM. 100% local, any CPU.
nums-ai / causilo
A pretrained tabular foundation model for classification and regression by Nums AI Inc.
nicobrenner / jeffy
Pretrained text classifiers you can run and retrain on CPU
LGAI-Research / EXAONE-Tabular
EXAONE Tabular is a transformer-based foundation model for tabular data that solves classification and regression through in-context learning
tomerglick57 / Jevstiller
Distill a repeated Jev classification task into a local model, on the fly β same answers, your hardware.
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.
AhmadJeddi / Plant-Disease-Classification
A ResNet50-DCBAM deep learning framework for plant disease classification using the PlantVillage dataset with reproducible training and evaluation pipelines.
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.
kyle41111 / BinarySoap
A python proof of concept tool to assist in your payloads classification against EDR/AV's machine learning models
manjunathshiva / opendecider
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.
vincenzo-afk / TruthNet
AI-powered fake news detection system with multiple ML models and explainability.
yoheinakajima / glance
Ask an open vision-language model typed questions about an image and get probabilities back, on your own machine.
trickytricklol / ESBO
Official code for "Beyond Empirical Risk: Achieving Point Cloud Robustness through Margin Refinement and Data Purification" (Expert Systems With Applications, ESWA-D-26-03463). ESBO: entropy-screened data purification + similarity-guided adversarial boundary optimization for robust point cloud classification.
Mayankpratapsingh022 / Turn-Detection-Model-Whisper-Tiny-Dual-Scale-Attention-Classification-Head-for-Low-Latency-Voice-AI
Low-latency, audio-native turn detection model using Whisper Tiny with a dual-scale attention classification head. Optimized for Hindi, Hinglish and Indian English, including fillers, incomplete thoughts and natural pauses. Includes causal training, hard-negative mining, calibrated endpointing.
collabray / wisense
WiFi CSI human sensing for Python presence, fall detection, breathing rate, activity classification, and occupancy counting from an ESP32. No camera, no cloud, no PyTorch/CUDA at runtime.
AbdelStark / jev-benchmarks
Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.