mbayraktar12's Projects
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
π©βπ»π¨βπ» Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
π A ranked list of awesome machine learning Python libraries. Updated weekly.
A repo for holding example code
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
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
CogDL: An Extensive Toolkit for Deep Learning on Graphs (Graph Neural Networks, GNN)
List of Computer Science courses with video lectures.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A collection of toy deep learning examples for quick experimentation
A collection of various deep learning architectures, models, and tips
Research on deep-neural-network-based indoor localization
List of Data Science Cheatsheets to rule the world
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
The fastai book, published as Jupyter Notebooks
12 Lessons, Get Started Building with Generative AI π https://microsoft.github.io/generative-ai-for-beginners/
Research on indoor localization
Deep Learning for humans
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Collection of useful machine learning codes and snippets (originally intended for my personal use)