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About Me:

i like deep learning and data science
open to collaborate on projects

actively researching various topics in ML, mainly focused on implementing solutions and applying them to real-life problems. the tools I use the most: python (pytorch, pandas, seaborn, sklearn...), julia, R(visualization), excel(visualization, simple exploratory analysis). however, I am not bound to just one/two fields of IT — i keep myself up to date on matters overall.

💻 Tech Stack:

C++ C Julia R Python MySQL Canva Keras Matplotlib NumPy Pandas Plotly PyTorch scikit-learn Scipy GIT LINUX Notion

📊 GitHub Stats:



Wakatime stats

wakatime

Leetcode stats

LeetCode Stats

🏆 GitHub Trophies

el's Projects

autoencoders icon autoencoders

implementing autoencoders, educational and somewhat practical purposes

img-playaround icon img-playaround

implementing image processing algorithms for educational purposes and fun

lions-den-hackathon-2024 icon lions-den-hackathon-2024

a repository containing the solution of the PŁiwo team for the Lion's Den 2024 hackathon, organized by ING.

misc-pieces icon misc-pieces

miscellaneous code snippets/files I felt like sharing

mnist-cnn icon mnist-cnn

a rather simple CNN to solve the MNIST problem

ngram-nlp-model icon ngram-nlp-model

this is my implementation of the bigram language model, as described by Andrej Karpathy in his makemore series.

spaceship-titanic icon spaceship-titanic

solving the spaceship titanic kaggle challenge for the AI club at Politechnika Lodzka

transformer_exp icon transformer_exp

implementing the transformer model (and doing some experiments on it), following Andrej Karpathy's lecture

wine-quality-knn icon wine-quality-knn

this is a repo, containing my experiments with the "red wine quality dataset", including data exploration, classification and whatever else I come up with

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