Skip to content
View erogluegemen's full-sized avatar
:octocat:
Focusing
:octocat:
Focusing

Highlights

  • Pro

Block or report erogluegemen

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.

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
erogluegemen/README.md

R&D Engineer

In science, if you know what you are doing, you should not be doing it.
In engineering, if you do not know what you are doing, you should not be doing it.
- Richard Hamming


Pinned Loading

  1. Earthquake-Emergency-Response-Robots Earthquake-Emergency-Response-Robots Public

    The Earthquake Emergency Response Robots project aims to create, develop, and implement systems specifically designed to handle post-earthquake situations. The main focus of the project is to build…

    HTML 8

  2. Post-Hoc-Explainability-for-Neural-Anomaly-Detection-in-Logistics Post-Hoc-Explainability-for-Neural-Anomaly-Detection-in-Logistics Public

    Post-Hoc Explainability for Neural Anomaly Detection in Logistics: An Empirical Comparison of SHAP, LIME, and Integrated Gradients

    Jupyter Notebook 4

  3. Deep-Reinforcement-Learning-for-Heterogeneous-Electric-Diesel-Fleet-Routing Deep-Reinforcement-Learning-for-Heterogeneous-Electric-Diesel-Fleet-Routing Public

    Replication and extension of POMO (Policy Optimization with Multiple Optima, Kwon et al., NeurIPS 2020) to the Heterogeneous Electric-Diesel Vehicle Routing Problem with Time Windows (HEVRPTW).

    Python 4

  4. Performance-and-Scalability-Analysis-of-KNN-Implementations-for-Content-Based-Filtering Performance-and-Scalability-Analysis-of-KNN-Implementations-for-Content-Based-Filtering Public

    This repository contains a comprehensive benchmark analysis comparing the performance of CPU-based scikit-learn against GPU-accelerated RAPIDS cuML for a K-Nearest Neighbors (KNN) task. The analysi…

    Jupyter Notebook 4

  5. Multiscale-Detail-Enhancement Multiscale-Detail-Enhancement Public

    Image detail enhancement via Laplacian pyramid decomposition. Each pyramid level captures a different frequency band of detail; per-level gain factors amplify fine and mid-scale details before the …

    Python 4

  6. StyleScope-Fashion-Image-Retrieval StyleScope-Fashion-Image-Retrieval Public

    A fashion style search engine that retrieves visually similar garments from a gallery using DINOv2 embeddings and FAISS similarity search. Given a query image, the system returns the top-5 most sty…

    Jupyter Notebook