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.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

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

Report abuse
MortadhaMannai/README.md

Followers Profile Views Stars GitHub followers

🏎️ Live Telemetry β€” Explainable AI Grand Prix

F1 racetrack animation

πŸ› οΈ Garage Board β€” Skills Inventory

Garage Board β€” Skills Inventory

πŸ“Š Championship Standings β€” GitHub Stats


πŸ† Take the Wheel β€” the Pit Stop Challenge

A live, community-played race β€” same mechanic as the profiles where visitors move a chess piece by opening an Issue. Anyone landing on this page can push a lap or call a pit stop with one click. A GitHub Action reads the Issue, updates the race, redraws the scoreboard below, comments the result, and closes the Issue β€” no sign-up, no typing required.

Pit Stop Challenge live scoreboard

Choose your move:

🟒 Push β€” advance a lap Β |Β  πŸ”΄ Pit: Soft Β |Β  🟑 Pit: Medium Β |Β  βšͺ Pit: Hard Β |Β  πŸ”΅ Pit: Wet

Each click opens a pre-filled Issue in this repo β€” hit "Submit new issue" and the bot does the rest.

βš™οΈ Setup β€” how to wire this up in your own repo

Drop these paths into the root of MortadhaMannai/MortadhaMannai (matching the files in this delivery):

.github/workflows/f1-pitstop.yml   β†’ fires on new issues titled "pitstop: ..."
scripts/update_pitstop.py          β†’ parses the move, updates state, redraws the SVG
data/pitstop_state.json            β†’ season laps, tyre, pit stops, leaderboard
assets/f1-pitstop.svg              β†’ auto-regenerated scoreboard (commit any placeholder to start)

Commit them, then click one of the move links above to test. This is a working starting point β€” I couldn't execute the Action myself to verify it end-to-end, so test it in a scratch repo first, and feel free to extend the state model (penalties, safety cars, a full season).


🐍 Extra Lap

a snake still eats my contribution graph between races

Snake Game

πŸ“‘ Radio Check β€” Connect

LinkedIn Medium LeetCode Instagram

Zenodo bioRxiv Sessionize Topmate


🏁 P1 or DNF β€” no in-between. Thanks for stopping by the paddock.

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. 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

  5. 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

  6. Tunisia-AI-Uni-Tour-2026-Agentic-AI-Workflows-on-Google-Vertex-AI-Workshops-Series Tunisia-AI-Uni-Tour-2026-Agentic-AI-Workflows-on-Google-Vertex-AI-Workshops-Series Public

    This repository contains the full hands-on material used in the Google Vertex AI Agent Workshop Series, delivered during the Tunisia AI Universities Tour 2026 . It demonstrates how to build agentic…

    Python 3 5