milanXpetrovic's starred repositories
30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
build-your-own-x
Master programming by recreating your favorite technologies from scratch.
Web-Dev-For-Beginners
24 Lessons, 12 Weeks, Get Started as a Web Developer
pytorch_geometric
Graph Neural Network Library for PyTorch
resources-of-learning
Documentations, books, courses, git repositories, and so on. Keep learning. To be a great developer.
temporal-group-interactions
Code associated to the paper "The temporal dynamics of group interactions in higher-order social networks" by Iacopini et al. ArXiv 2306.099675 (2023)
cookiecutter-django
Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Python-for-Algorithms--Data-Structures--and-Interviews
Files for Udemy Course on Algorithms and Data Structures
The-Complete-FAANG-Preparation
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.
adv-net-sci-course
SSIE 641 - Advanced Topics in Network Data Science
coding-problems
Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures
influential-cs-books
Most influential books on Computer Science/programming
SciencePlots
Matplotlib styles for scientific plotting
the-art-of-command-line
Master the command line, in one page
pathcensus
Python (3.8+) implementation of structural similarity and complementarity coefficients for undirected (un)weighted networks based on efficient counting of 2- and 3-paths (triples and quadruples) and 3- and 4-cycles (triangles and quadrangles).