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Ammar Khairi

Machine Learning Engineer | NLP & Computer Vision

I'm a Machine Learning Engineer specializing in NLP, Computer Vision, and Geospatial applications. I enjoy solving complex problems involving large datasets.

Connect with me:

Website LinkedIn

Skills:

Python PyTorch TensorFlow scikit-learn Docker GitHub Git MySQL MongoDB Streamlit Hugging Face ArcGIS PostGIS GeoPandas Google Earth Engine

Highlights:

  • πŸ”­ I’m currently researching and experimenting with LLMs for Computional Scoial Science !
  • πŸŽ“ M.Sc. in Artificial Intelligence from University of Edinburgh
  • πŸ† Published and presented research at NeurIPS Black in AI Workshop
  • πŸ’» Open-sourced LLM fine-tuning code and models on HuggingFace

Ammar Nasr's Projects

agriai icon agriai

Using satellite imagery and computer vision, farmers can map fields, track crop health, and receive actionable recommendations via a user-friendly dashboard.

ammarnasr icon ammarnasr

A ✨special ✨ repository for my GitHub profile.

arabic-polarization-analysis icon arabic-polarization-analysis

This repository contains machine learning models and analysis code for studying polarization dynamics on Arabic (Sudanese) in the context of violent conflict.

geo-ai icon geo-ai

This repository contains my submission for the Cropland Extent Mapping Challenge, where I have developed a cropland extent mapping solution using machine learning techniques.

hello-world icon hello-world

Your hello-world repository can be a place where you store ideas, resources, or even share and discuss things with others.

knowledge-based-qa icon knowledge-based-qa

This project aims to build an intelligent question answering system that can understand natural language questions posed by users and provide accurate answers by matching the questions to the most similar ones from a database of question-answer pairs.

ocl-repo icon ocl-repo

Repo For Using OCL in Multi-label Classification

place2vec icon place2vec

This project delineates urban functional zones in London, UK by analyzing Point of Interest (POI) data extracted from OpenStreetMap.

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