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mortadhamannai

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XAI isn't just about revealing the 'why' behind AI decisions; it's about fostering a bridge of trust between humans and machines.

Funding Links: https://github.com/sponsors/MortadhaMannai

GitHub Sponsors Profile

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! 🙏

Featured Works

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…

Language: Python - Stars: 5
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.

Language: Jupyter Notebook - Stars: 3
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

Language: Jupyter Notebook - Stars: 4
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…

Language: Jupyter Notebook - Stars: 4