Skip to content
View MortadhaMannai's full-sized avatar
πŸ’­
I may be slow to respond.
πŸ’­
I may be slow to respond.

Block or report MortadhaMannai

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
MortadhaMannai/README.md

πŸ‘‹ I'm Manai Mohamed Mortadha πŸ‘‹

AI Engineer |AI Expert |XAI Engineer @Netflix |XAI Researcher @Saint Mary's university |AI Consultant @Tegus and @wivenn |CEO @Man.Ai |Professional Technical Reviewer @Packt |2024 AI Apprentice @Google |AI Speaker (Linkedin Top Voice)

Driven by an unwavering fascination for AI's transformative power, I'm captivated by its intricate fusion of data and algorithms. From creating neural networks for natural language nuances to fostering innovation through continuous learning, I'm committed to AI's evolution. Recognized for multicultural teamwork and attention to detail, I aim for an environment that fuels professional growth and impactful human-machine collaboration.

image

About me



Connect with me:

mannai mortadha mortadha mannai mortadha_mannai mannaimortadha898

Languages and Tools:

c cplusplus csharp django docker gcp git linux matlab mongodb mysql opencv pandas python pytorch scikit_learn seaborn tensorflow unity

MortadhaMannai

MortadhaMannai


MortadhaMannai


MortadhaMannai


🐍 A Snake Eating my Contributions Graph

Snake Game

Pinned Loading

  1. Fake-news-detection-with-LSTMs-and-BERT Fake-news-detection-with-LSTMs-and-BERT Public

    well Social media has affected society during the last decade by providing free milieus for everyone to share their thoughts, ideas, and also news. As a negative effect, these environments have bee…

    Jupyter Notebook 5

  2. Graph-Convolution-over-Pruned-Dependency-Trees-for-Relation-Extraction Graph-Convolution-over-Pruned-Dependency-Trees-for-Relation-Extraction Public

    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 5

  3. Natural-Language-Processing-Analyzing-GitHub-Pull-Requests Natural-Language-Processing-Analyzing-GitHub-Pull-Requests Public

    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 4

  4. Comparative-Analysis-of-Equity-Crowdfunding-Expenditure-Across-OECD-Nations-Python-and-R-Approach Comparative-Analysis-of-Equity-Crowdfunding-Expenditure-Across-OECD-Nations-Python-and-R-Approach Public

    This project aims to perform a comprehensive analysis of the differences in money spent on "Equity Crowdfunding" projects across OECD countries.

    Python 3

  5. VOCAL-TRACK-EXTRACTION-USING-NEURAL-NETWORKS VOCAL-TRACK-EXTRACTION-USING-NEURAL-NETWORKS Public

    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 3

  6. BERT-Neural-Language-Interface-Explainability-Explorer BERT-Neural-Language-Interface-Explainability-Explorer Public

    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 4