A consolidated collection of resources for you to learn and understand algorithms and data structures easily.

Implementation of various Data Structures and algorithms - Linked List, Stacks, Queues, Binary Search Tree, AVL tree,Red Black Trees, Trie, Graph Algorithms, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Segment Trees etc.

This project can help you understand the Data Structure and Algorithms in a more efficient manner. It aims at scheduling the studies for maximizing marks during exams. Most students face this problem during exams that what to study to get the best out of their limited time.

The All ▲lgorithms documentation website.

Coursera's Data Structures and Algorithms Specialization

Competitive Programming DSA Roadmap

Notebook for quick search

My solved DS & Algo problems on GeeksforGeeks. It covers almost every data structure and algorithm present that is must for practice to have a good hand on Competitive Programming.

Algorithms to solve the DSSE environment, focusing on optimizing drone swarm search and navigation for critical applications.

My Leetcode Solutions

Grokking Algorithms written in Javascript

围住神经猫游戏算法的实现，objc版本 和 javascript版本

A fun study of some heuristics for the Travelling Salesman Problem.

AllGoRhythms. This is a lovely repository about Algorithms and Algorithms Design.

Algorithms and Data Structures.

Multi-hop VANET-Clustering Algorithm Using Greedy Method

Vehicle Routing Problem with Time Windows solver using Ant Colony Optimization, Greedy Algorithm

All DSA-2 topics are covered in the UIU DSA-2 course, including both lab and theory courses. Check DSA-1 Topics: https://github.com/TashinParvez/DSA_1_UIU

It's like Marching Cubes but not really. Based on the algorithm described by Chien-Chang Ho et al. in Adaptive Feature Preserving Surface Extraction from Volume Data.

LLM Beam Search Example Implementation