Implementation of NAACL 2024 main conference paper: Named Entity Recognition Under Domain Shift via Metric Learning for Life Science
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Updated
Jun 19, 2024 - Python
Implementation of NAACL 2024 main conference paper: Named Entity Recognition Under Domain Shift via Metric Learning for Life Science
Implementation of ProteinBERT, a deep language model designed for proteins.
Toxic message detection system using machine learning.
Intent Classification using Hugging Face Transformers with FastAPI-powered API
OOP stock analyser and filter with AI modelling, daily indicators, news aggregator with sentiment analysis,multithreaded IO and streamlit frontend
Lightweight BERT-like model with Rotary Position Embeddings (RoPE), Grouped-Query Attention (GQA) for faster inference, and configurable sliding-window + global-token attention for long-context modeling. Includes weight-tied embeddings and RMSNorm.
A version of a Geographic Information System(GIS) with blogging and image, text moderation, I developed for my Master's Dissertation at Cardiff university.
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