Havuz

A consistent, fair, benchmark for structured extraction.

Hybrid recommender system + RAG chatbot for IT courses (FastAPI + Express/TS + PostgreSQL), with an independent Data Lakehouse module (Spark

A compounding LLM-wiki, best fit as a personal second brain that organizes and updates itself as it grows, zero upkeep.

Caveman prompting, measured. A two-channel evaluation framework for prompt compression and LLM token efficiency: what input vs output compre

All Jina AI APIs as Unix CLI commands. Search, read, embed, rerank - with pipes.

This repository is a comprehensive, hands on roadmap to Python Mastery and AI Engineering. It is designed to take a learner from the very fo

Let your users ask your database anything, in their own words — safely. The model fills in a validated Query AST, never a query string, and

🏆 Fast, multilingual PII detection for privacy compliance (PDPA, PDPD, PDP Law, PIPL). 9 entity types, 13+ languages, CPU-only ONNX Runtime

日本語文書の自然さと読みやすさを再現可能に診断するRust CLI / Deterministic diagnostics for natural and readable Japanese writing

Teknofest 2026 Doğal Dil Ajanları Yarışması 1. Senaryo kapsamında geliştirilen, kamu sektörü için resmi evrak analizi ve taslak üretimi yapa

Detect hallucinations in LLM responses. Verify every claim against source documents using hybrid STS + NLI. Works with LangChain, LlamaIndex

Turn documents into high-quality instruction datasets with grounding, quality filtering, deduplication, and provenance.

Better Estonian from your AI agent. Offline MCP server (no third-party calls) wrapping EstNLTK, EKI Reeglid + Riigi Teataja. 28 read-only to

AI-detector auditing toolkit: measures how often a detector flags genuine human writing, how stable its verdict is across seeds, and whether

日本語フリガナ (ルビ) を扱う Rust 製ライブラリ + ローカル HTTP サーバー。ルールはすべてデータ駆動 (TOML)。

Accepted at ISCSLP 2026 · Target-level benchmark for raw-input Chinese news TTS pronunciation

Offline linter that marks LLM-sounding prose. Its statistical model is trained on 2.8B tokens of human text and 11 LLM families, with 0.96 m

日本語の文章から「AI 臭さ」を機械的に拾う Rust 製の Linter

GateMem: a benchmark and evaluation toolkit for memory governance in multi-principal shared-memory LLM agents.