Skip to content
View elrrowwe's full-sized avatar
πŸ’­
jamming
πŸ’­
jamming
  • ŁódΕΊ, Poland

Highlights

  • Pro

Organizations

@kinoai

Block or report elrrowwe

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
elrrowwe/README.md

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 β€” i keep myself up to date on matters overall.

πŸ’» Tech Stack:

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

πŸ“Š GitHub Stats:



Wakatime stats

wakatime

Leetcode stats

LeetCode Stats

πŸ† GitHub Trophies

Collabothon 2024 Winner's badge

My Badge

Pinned Loading

  1. collabothon_2023_MW collabothon_2023_MW Public

    collabothon 2023 #VirtualAssistant project placeholder

    Python

  2. img-playaround img-playaround Public

    implementing image processing algorithms for educational purposes and fun

    Python

  3. ngram-NLP-model ngram-NLP-model Public

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

    Python

  4. poet-GAN poet-GAN Public

    a GAN to generate handwritings.

    Jupyter Notebook

  5. transformer_exp transformer_exp Public

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

    Jupyter Notebook

  6. autoencoders autoencoders Public

    implementing autoencoders, educational and somewhat practical purposes

    Python 1