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Berhanetek/README.md

Hi there 👋

  • 🎓 I recently graduated from KAIST, Korea Advanced Institute of Science & Technology.
  • 🔭 I’m currently working on using segmentation transformers to segment organs from gastro intestinal tract scans.
  • 🧬 I’m currently learning Graph Neural Networks
  • 👯 I’m looking to collaborate on interested data related projects (especially to solve issues in medicine or healthcare)
  • 📫 How to reach me: breteklu@gmail.com | breteklu@kaist.ac.kr
  • 🔍 If interested check out my portfolio.

Skills Summary

  • Big Data & Cloud: AWS Google Cloud Platform (GCP) PySpark
  • DevOps & Version Control: Git GitHub Docker Weights & Biases (WandB)
  • Backend Development: Node.js FastAPI
  • Database: MySQL

Pinned Loading

  1. unsupervised-detection-of-anomalous-sounds unsupervised-detection-of-anomalous-sounds Public

    Automatically identify whether the sounds produced by industrial machines are normal or anomalous (faulty machines). This is crucial for ensuring efficient and safe operations in the context of AI-…

    Jupyter Notebook 1

  2. Big-data Big-data Public

    Selected topics in big data analytics. Topics include recommendation systems, social network analysis, market basket analysis, etc.

    Python 1

  3. deep-learning-with-tensorflow-2 deep-learning-with-tensorflow-2 Public

    Forked from Neuralearn/deep-learning-with-tensorflow-2

    Jupyter Notebook

  4. GeoProj GeoProj Public

    Forked from xiaoyu258/GeoProj

    Blind Geometric Distortion Correction on Images Through Deep Learning

    Python

  5. handson-ml2 handson-ml2 Public

    Forked from ageron/handson-ml2

    A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

    Jupyter Notebook