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πŸ‘‹ Hi there

Welcome to my GitHub profile! Below you'll find information about my publications, competitive achievements on Kaggle, and Python packages I've developed.

πŸ“œ Publications

  • Swarm Optimization-Based Hyperparameter Selection for Machine Learning Algorithms in Indoor Localization Read the paper here

πŸ†Global Kaggle Competitions

  • PS S4E3 Steel Plate Prediction 4th/2199 Kaggle

πŸ†Local Kaggle Competitions

  • GDZ Elektrik Datathon 2024 - Final 14th/184 (First 10 after finals) [Kaggle link will be added]

🐍 Python Packages

πŸš€ Datasets

Feel free to reach out if you have questions or if you want to collaborate on a project!

mbayraktar12's Projects

attentionwalk icon attentionwalk

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

awesome-cheatsheets icon awesome-cheatsheets

πŸ‘©β€πŸ’»πŸ‘¨β€πŸ’» Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

cheatsheets-ai icon cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

cheatsheetseries icon cheatsheetseries

The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.

cogdl icon cogdl

CogDL: An Extensive Toolkit for Deep Learning on Graphs (Graph Neural Networks, GNN)

d2l-pytorch icon d2l-pytorch

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

dagnet icon dagnet

PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"

efficient-kan icon efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

generative-ai-for-beginners icon generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI πŸ”— https://microsoft.github.io/generative-ai-for-beginners/

machine-learning-notes icon machine-learning-notes

Collection of useful machine learning codes and snippets (originally intended for my personal use)

machine-learning-roadmap icon machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

mlalgorithms icon mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

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