There are 1 repository under randomized-algorithm topic.
A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).
Notebook for quick search
[SIGCOMM 2021] ARROW: Restoration-Aware Traffic Engineering
🌱Contribute in Hacktoberfest 2022 by contributing Data Structures and Algorithms Code in any programming language. Create your own issues. ✨Star it 🍴Fork it and Contribute to it <3
A simple, time-tested, family of random hash functions in Python, based on CRC32 and xxHash, affine transformations, and the Mersenne Twister. 🎲
opengl C++ 2d maze game
Scalable and Sustainable Deep Learning via Randomized Hashing
An implementation of a textbook Byzantine Randomized Consensus protocol, using a Byzantine Reliable Broadcast protocol
Code for the Neurips 2023 Paper "Fast Exact Leverage Score Sampling from Khatri-Rao Products"
Graph clustering
Academical implementation of Karger's Algorithm in O(mα(n) + n) and Karger-Stein algorithm in O((mα(n) + n) log(n)) using the Union-Find data structure.
Julia Implementation of Anytime Weighted A* (AWA*) and Randomized Weighted A* (RWA*) algorithm
C# code for detecting circles in images using EmguCV
Python implementation of RSA cryptosystem showing the encryption and decryption algorithms as well as the possible attacks.
Visual tool for the Karger's Edge-Contraction algorithm
Freestyle is a randomized version of ChaCha cipher to resist brute-force and dictionary attacks.
🤲🧠 Experience reflexology in this engaging drag-and-drop game! Match anatomical points with their corresponding images, exploring the therapeutic art of reflexology. This interactive game employs HTML, CSS, and JavaScript to create a seamless and educational user interface, enhancing your understanding of key acupressure points.
Web scraping, Probs, Randomized Algorithms and a lot of Coffees...
:triangular_ruler: Binary Space Partitions
During a hackathon, I leveraged my coding and AI skills to develop an innovative model designed to tackle real-life problems with optimized solutions. The project aimed to address a specific challenge by employing advanced machine learning techniques and data analysis
Randomized SVD as per Halko, Martinsson, and Tropp [2011]
This project aims to provide an unsupervised lightweight solution to estimate the count of various different category of Vehicles. By implementing a novel Locality Sensitive Hashing based sketch.