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reinbugnot/README.md

HEADER IMAGE

I am deeply passionate about the anything AI and Machine Learning. Wanna build something together? Let's talk! ☕

Coding

  • 📫 How to reach me reinbugnot@gmail.com

  • 📄 Know about my experiences here!

  • 👇 Scroll down to check out my featured projects!

Connect with me:

reinelle jan (rein) bugnot rein bugnot

Languages and Tools:

arduino cplusplus figma flask git matlab opencv pandas photoshop python pytorch scikit_learn seaborn tensorflow

reinbugnot

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  1. keypoint-detection-sift keypoint-detection-sift Public

    Computer Vision • 🔍 SIFT Keypoint Localization: A robust computer vision project implementing the Scale-Invariant Feature Transform (SIFT) algorithm for accurate keypoint localization in images. #C…

    Jupyter Notebook 1

  2. deepfashion-classification deepfashion-classification Public

    A multi-label, multi-class classification project on the DeepFashion Dataset. We fine-tuned a SE-ResNeXt model and optimized hyper-parameters with Optuna. By employing a diffusion model to generate…

    Jupyter Notebook 1

  3. movielens-recommender-system movielens-recommender-system Public

    Recommender System ⬩ Created a Neural Collaborative Filtering Recommender System to predict user engagement/interaction using movies from 1995 to 2020 in the MovieLens dataset.

    Jupyter Notebook 3 1

  4. eda-real-estate-listings eda-real-estate-listings Public

    Comprehensive Exploratory Data Analysis (EDA) ⬩ on Properati's "Properati Real Estate Listings - Brazil" (https://data.world/properati/real-estate-listings-brazil)

    Jupyter Notebook

  5. tropa-face-detection tropa-face-detection Public

    Computer Vision ⬩ This is a short implementation of the YOLOv3 Framework to train a model to detect and localize the faces of me and 4 of my 'tropa' / friends (DJ, Gab, Nicolo, Nuy) using Pytorch b…

    Jupyter Notebook 2

  6. vizDoom-reinforcement-learning vizDoom-reinforcement-learning Public

    Reinforcement Learning ⬩ Computer Vision ⬩ Taught an AI how to play a basic shooting match using Deep Q-Learning. Inspired by @simoninithomas's DQN implementation in Atari Space Invaders 2600.

    Jupyter Notebook 1