j-adamczyk/graph_representation_learning_workshops

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j-adamczyk/graph_representation_learning_workshops

j-adamczyk

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"Graph Representation Learning and Graph Classification" workshops, ML in PL 2023 conference

Towards_Data_Science

Links to my Towards Data Science articles

podstawy-uczenia-maszynowego-23-24

Zadania na przedmiot "Podstawy Uczenia Maszynowego" na AGH w roku 2023/2024

Jupyter Notebook

Numerical_algorithms

Projects made for Numerical Algorithms course at AGH

podstawy-uczenia-maszynowego-22-23

Zadania na przedmiot "Podstawy Uczenia Maszynowego" na AGH w roku 2022/2023

Jupyter Notebook

LTP

Code for paper "Strengthening topological baselines for graph classification using Local Topological Profile"

Jupyter Notebook

Distributed_systems

Projects made for Distributed Systems course at AGH

Pattern_recognition

Projects made for Pattern Recognition course at AGH

Big_data_analysis

Projects made for Big Data Analysis (Apache Spark) course at AGH

Matrix_algorithms

Projects made for Matrix Algorithms course at AGH

Multivariate_statistics

Projects made for Multivariate Statistics course at AGH

ADPTO_templates

Templates for Algorithms for Computationally Hard Problems classes

Document_OCR_scanner

Document scanner from smarphone photos with scan OCR.

MOLTOP

Code for paper "Molecular Topological Profile (MOLTOP) - Simple and Strong Baseline for Molecular Graph Classification"

RSS_feed_dataset_creator

Command line tool for creating datasets for supervised ML in NLP from RSS feeds