This is a repository, containing several types of most used computer science algorithms
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Updated
Jun 5, 2022
This is a repository, containing several types of most used computer science algorithms
Animation of the Gale Shapley Algorithm that solves the matching problem of bipartite graphs.
Switch Simulator for Our QPS Paper
Assignments done as part of the course Design & Analysis of algorithms at BITS Pilani, Hyderabad Campus.
the algorithm works by first finding a maximum matching in the bipartite graph, which is a set of edges that pairs as many nodes as possible without sharing any common nodes. Then, the maximum matching is converted into a vertex cover, which is a set of nodes that covers all the edges in the graph
Implementing a series of matching algorithms to connect individuals with their desired placements in a way that optimizes preferred outcomes for all.
Python implementation of an approximate Euclidean bipartite matching algorithm proposed by a 2004 paper "A Near-Linear Constant-Factor Approximation for Euclidean Bipartite Matching?" by Pankaj Agarwal and Kasturi Varadarajan.
Python implementation of algorithms for maximum cardinality matching and maximum cost assignment in bipartite graphs
Min Cost Perfect Bipartite Matching Algorithm
Custom implementation of some algorithms in C++
A repo for notes from DAA-535-IIT
Solution to an perfect bipartite matching problem
Algorithms and Data Structures for Data Science and Machine Learning (Algorithms and Data Structures Simplified) Part 2
Advanced algorithms and generic data structures in C
The aim of this project is to analyze demand/supply trends for bike sharing applications in central London. The project is split into two parts a Data Analysis section and an Optimization Model for solving the Bike Reposition Problem.
[ICML 2023] Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees
rearrange the pixels of one image to create another image; not your usual image morph app
An algorithm to find maximum cardinality matching of bipartite graph
This is the official implementation of the bipartite matching experiment from the paper "Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization".
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