This is an embedding of the Sparse Synchronous Model, in Haskell!

Sparky is an interactive assistant designed to help users identify and understand various hardware and electronic components.

Hova is a Domain-Specific Language designed to describe and organize entities in a clean, readable and structured way. It lets you define your data once and automatically export it as JSON, YAML or TOML.

Asto is a small but powerfull DSL designed to help CLI engineers organize, describe, and document command-line tools - clearly and efficiently.

Dhaad (ضَاد) is the world's first **adaptive programming language** that intelligently orchestrates execution while preserving semantic intent. Named after the distinctive Arabic letter "Ḍād" that defines linguistic depth, Dhaad transforms programming from static computation to **dynamic, context-aware outcome commanding** across all computational

[EMNLP'24] This repo is official implementation for the paper "Unsupervised Named Entity Disambiguation for Low Resource Domains"

Comprehensive benchmarking framework for evaluating 13+ embedding models on multi-turn conversational retrieval with advanced metrics, automated visualizations, and flexible data pipeline supporting multiple formats

A tool for detecting hallucinations in domain-specific LLM outputs. It enables domain data import, model training, and API deployment, providing reliability assessment and evidence for evaluating LLM implementation performance.

This is the implementation of AFSC focused website segment crawler. It is capable for finding web pages that are related to a specific topic and also written in a specific language. For more details, please refer to http://ieeexplore.ieee.org/abstract/document/7789756/

Domain specific custom entity extraction

도메인에 특화된 질의응답 QA 시스템을 자동 생성하는 웹 프레임워크 QA Maker 개발

vidlytics extracts text from multimedia, generates domain-specific summaries & insights from prompts, enabling quick understanding without direct video processing.

Source code for "ExpGuard: LLM Content Moderation in Specialized Domains", ICLR 2026

🎥 Extract insights effortlessly from multimedia content using Vidlytics, a Python package that simplifies understanding with concise summaries.

A collection of easily digestible introductions to foundational and state-of-the-art LLM domains

Extracts key information from unstructured news headlines into structured domain-specific summaries for business, logistics, and transportation sectors.

Implementation of TSDS: Data Selection for Task-Specific Model Finetuning. An optimal-transport framework for selecting domain-specific and task-specific training data to improve LLM finetuning and instruction tuning.

A Domain Specific Language for the Structured Query Language (SQL) embedded in Java

📶 NetBERT: a domain-specific BERT model for computer networking.

CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model