The official repository for our programming kitchen which consists of 50+ delicious programming recipes having all the interesting ingredients ranging from dynamic programming, graph theory, linked lists and much more. All the articles contain beautiful images and some gif/video at times to help clear important concepts.

Solving problems in Algorithms courses

Contains solutions and codes to various online competitive programming challenges and some good problems. The links to the problem sets are specified at the beginning of each code.

A brief summary of various algorithms. Each algorithm provides examples written in Python, Ruby and GoLang.

This is the web app written in Python/Django at the backend and Html/CSS at the front-end as a semester project completed with Class member. This app generates the timetable for the departments with multi-sections features and no conflict with professors availability and classrooms availability.

Examples and algorithms written in Python for the book "Grokking Algorithms" with Russian and English comments. Примеры и алгоритмы, написанные на Python для книги "Грокаем Алгоритмы" с русскими и английскими комментариями

Calculating Max Independent Set with greedy algorithm

A Greedy Randomized Adaptive Search Procedure (GRASP) for the Traveling Salesman Problem (TSP)

This is an implementation of performing graph coloring using tabu search algorithm in Python

A fine-tuned visual implementation of Informed and Uninformed Search Algorithms such as Breadth First Search, Depth First Search, Uniform Cost Search, A* Search, Greedy First Search

My codes for CSE221 Brac University in Python 3.

In this project 8 approaches presented for solving OP.

HybridAlpha - a mix between AlphaGo Zero and AlphaZero for multiple games

My solutions to Leetcode problems

solving challenges from various problem sites like advent of code, leet code and others

Source code for the numerical experiments presented in the paper "Greedy Shallow Networks: An Approach for Constructing and Training Neural Networks".

A Path-Finding visualizer which helps you visualize different algorithms such as A-Star, Dijkstra & Greedy Best-First.

Code for my publication "Efficient Sensor Selection with Application to Time Varying Graphs", in the 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

My team's Hash Code 2020 solutions