faizanarshad/brand_detection_armenian_data
A machine learning project for classifying Armenian retail product names into numeric ADG codes using a BiLSTM model. It includes data preprocessing, training, evaluation, and inference scripts, plus a lookup utility for mapping codes to brands and categories.
A BiLSTM-based text classification system for mapping Armenian/Latin retail product names to ADG codes (brand categor...
AzgIntel is an AI-powered NLP pipeline for Armenian text classification using a BERT-based multilingual model. It pro...
A machine learning project for classifying handwritten Armenian letters using the Mashtots Dataset v2 from Kaggle. It...
A demonstration repository for a pre-trained Armenian text embedding model, showcasing applications in text classific...
A curated multilingual dataset of Armenian and Armenia-related keywords, names, and geographic terms designed for fil...
A machine learning model for classifying Armenian letters (both uppercase and lowercase) using a Convolutional Neural...