Skip to content
View Smendowski's full-sized avatar
🧩
Focusing
🧩
Focusing
  • AGH University of Science and Technology
  • Radomsko / Kraków

Block or report Smendowski

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

Pinned Loading

  1. data-embedding-and-visualization data-embedding-and-visualization Public

    Visualization and embedding of large datasets using various Dimensionality Reduction (DR) techniques such as t-SNE, UMAP, PaCMAP & IVHD. Implementation of custom metrics to assess DR quality with c…

    Jupyter Notebook 2

  2. neural-networks-and-deep-learning neural-networks-and-deep-learning Public

    Implementation of NumPy-based framework for Neural Networks and Deep Learning in terms of the Neural Networks course at AGH University of Science and Technology.

    Jupyter Notebook

  3. vehicle-detection vehicle-detection Public

    Forked from piotrsladowski/Vehicle-Detection-OpenCV

    Vehicle Detection application based on OpenCV, YOLOv3 and PyQt5 GUI - implementation in terms of Software Engineering course on AGH University of Science and Technology

    Python

  4. hidden-communication-using-covert-channels hidden-communication-using-covert-channels Public

    [Secure Communication Systems] Implementation of network Covert Channels for hidden communication purposes using Domain Name System, Internet Control Message Protocol, ScaPy, and email messages.

    Python 5 1

  5. representativity representativity Public

    REST API service to evaluate object representativeness using ML models

    Python 1

  6. network-anomaly-detection network-anomaly-detection Public

    Anomaly detection in network traffic using unsupervised k-NN, Deep AutoEncoder and Isolation Forest

    Jupyter Notebook 5