Machine learning framework designed with a user-friendly YAML-based configuration system. It features streamlined Slurm job submission and a flexible architecture, allowing users to effortlessly orchestrate complex machine learning workflows.
All-in-one extension suite tailored for researchers, designed to enhance the management and exploration of academic materials. Key features encompass metadata extraction, PDF highlight processing, and AI-powered paper queries.
Natural language processing pipeline, equipped with intuitive abstractions. Supports a diverse array of NLP tasks, enabling seamless and efficient processing across various tasks.
Hovhannes Tamoyan et al.
Armen Aghajanyan*, Lili Yu*, Bowen Shi*, Ramakanth Pasunuru*, Hovhannes Tamoyan, Luke Zettlemoyer et al.
Gayane Chilingaryan*, Hovhannes Tamoyan*, Ani Tevosyan*, et al.
Karen Hambardzumyan, Hovhannes Tamoyan and Hrant Khachatrian