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π I published a paper in EMNLP2021 outperforming current SOTA in WSD with 65% reduction in number of trainable parameters, Paper: "Integrating Personalized PageRank into Neural Word Sense Disambiguation "
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π Artificial Intelligence and Robotics Masters holder from Sapienza University of Rome
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π± Iβm currently using [ML/DL Projects] Python, Scikit-learn, PyTorch && [Web Dev] React JS, CSS, HTML, Django-py, psql
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π¨βπ» All of my projects are available at my e-portfolio
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π« How to reach me [email protected]
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π Know about my experiences in my resume
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β‘ Fun fact I'm a Bachatero, poet, amature cook, amature baker
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AI & Robotics MSc holder,
EMNLP 2021 Publisher,
CyberSecurity Enthusiast
- Italy
- elsheikh21.github.io
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car-racing-ppo
car-racing-ppo PublicImplementation of a Deep Reinforcement Learning algorithm, Proximal Policy Optimization (SOTA), on a continuous action space openai gym (Box2D/Car Racing v0)
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malware-analysis
malware-analysis Publicusing Drebin dataset to distinguish between malwares and not malwares
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population-based-training-of-NNs
population-based-training-of-NNs PublicApplying PBT optimization technique to different domains
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neural-pagerank-wsd
neural-pagerank-wsd PublicForked from SapienzaNLP/neural-pagerank-wsd
Exploiting the global WordNet graph to perform WSD
Python 1
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