Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
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Updated
Apr 10, 2024 - C++
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
🔗 C++17 network / graph visualization library - Qt6 / QML node editor.
A one-stop Destination✏️ for all your Competitive Programming Resources.📗📕 Refer CONTRIBUTING.md for contributions
📚 C++ and Python solutions with automated tests for Cracking the Coding Interview 6th Edition.
Learn Cpp from Beginner to Advanced ✅ Practice 🎯 Code 💻 Repeat 🔁 One step solution for c++ beginners and cp enthusiasts.
A language for computing on sparse systems
Competitive Programming templates that I used during the past few years.
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.
Dear ImGui Addons Branch = plain unmodified dear imgui plus some extra addon.
This will have all the solutions to the competitive programming course's problems by Coding ninjas. Star the repo if you like it.
A library of supporting code for numerical modelling (JSON config, HDF5 data, Modern OpenGL visualization)
A visualisation tool for the creation and analysis of graphs
Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
Collection of some useful algorithms for competitive programming.
Data-Structures using C++.
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.
VF3 Algorithm - The fastest algorithm to solve subgraph isomorphism on large and dense graphs
GraphMat graph analytics framework
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