NandhaKishorM/laya
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.
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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.
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.
We write your reusable computer vision tools. 💜
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
Fast local classification of torrent and media metadata, with ONNX inference and optional enrichment.
A self-hosted drop-in replacement for TypeSafe's jev, powered by GliFormer.
jevos is an open-source alternative to Jev for yes/no decisions that runs on your laptop.
Self-hosted decision model (selfjev-4b) with a Jev-compatible API: Python SDK, server, fine-tuning and RLCD.
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
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Turn any computer or edge device into a command center for your computer vision projects.
Neural Network Compression Framework for enhanced OpenVINO™ inference
Zero-shot text classification over plain HTTP — no API key, no account. One Cloudflare Worker, a CLI, and an MCP server. https://classifier.dev
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
[CVPR2026]🚀🚀🚀Official code for the paper "YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection." *(YOLO = You Only Look Once)* 🔥🔥🔥
Statistical Machine Intelligence & Learning Engine
Classify text in PHP without an LLM bill: typed decisions in 100+ languages, self-hosted. Laravel-ready SDK for Laya, a Jev AI alternative.
Python AutoML for Trading Systems and Sports Betting
All-in-One Development Tool based on PaddlePaddle
Build calibrated AI Functions from human feedback using Jev and GEPA.
Calibrate Jev questions against your own labels: tune criteria on labelled examples, confirm on a held-out set, get a verdict per question. Unofficial.
Full-weight Qwen decision model with calibrated probabilities, training code, REST API, and playground.
Command-line tool for TypeSafe AI's Jev model. Ask yes/no, multiple-choice and rubric questions about any text and get calibrated probabilities back. Answers become exit codes for shells and CI, JSON for scripts, and MCP tools for AI agents.
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.
A high-level machine learning and deep learning library for the PHP language.
🔥🔥🔥TensorRT for YOLO26 (det/pose/seg/depth/obb/cls), YOLOv11,YOLOv10 YOLOv9,YOLOv8, ... 🚀🚀🚀 CUDA IS ALL YOU NEED. 🍎🍎🍎
Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence.
Go SDK and CLI for TypeSafe Jev: typed decisions (yes/no, choice, score) from a model
Functional Data Analysis Python package
Clusters and elements to attach to MISP events or attributes (like threat actors)
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