Become a sponsor to Mortadha Mannai
Hello world ! 👋
I'm a dedicated AI researcher with a specific focus on Natural Language Processing (NLP) and Explainable AI (XAI) 💡 . My work centers around making AI models more transparent and interpretable, particularly in the context of NLP applications.
By sponsoring me 💰, you're supporting the development of ethical and responsible AI systems, ensuring they benefit society while remaining understandable.
Together, we can drive innovation, bridge the gap between technology and humans, and create a future where AI empowers and enriches our lives 🌱. Join me in this mission!
I'm so grateful for your support and I promise to use this sponsorship wisely. Thank you! 🙏
I'll be able to quit my job and work on XAI resaerch full time!
Featured work
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MortadhaMannai/Graph-Convolution-over-Pruned-Dependency-Trees-for-Relation-Extraction
Graph Convolution over Pruned Dependency Trees for Relation Extraction" is a sophisticated approach that leverages graph convolutional networks (GCNs) on pruned dependency trees to enhance the accu…
Python 4 -
MortadhaMannai/VOCAL-TRACK-EXTRACTION-USING-NEURAL-NETWORKS
There are four models in this project: Deep Clustering Model, Hybrid Deep Clustering Model, U-net Model and UH-net Model. Models are trained on DSD100 dataset. The project is based on PyTorch.
Jupyter Notebook 2 -
MortadhaMannai/Natural-Language-Processing-Analyzing-GitHub-Pull-Requests
This project covers the concepts of : Topic Modelling using LDA Clustering through tf-idf and BoW Dimension reduction through t-SNE and truncated SVD Classification and Regression algorithms
Jupyter Notebook 3 -
MortadhaMannai/BERT-Neural-Language-Interface-Explainability-Explorer
Welcome to the Neural Language Interface (NLI) Explain project! This repository is dedicated to exploring and explaining the decision-making process of BERT models in the context of Natural Languag…
Jupyter Notebook 3
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