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A comprehensive resource for learning and implementing algorithms and data structures. This repository includes detailed notes, complexity analysis, and code examples in C++, Java, Python, and more. Ideal for students, professionals, and those preparing for coding interviews.

Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

Share, discuss and learn about algorithm implementations!

A Go implementation of the 64-bit xxHash algorithm (XXH64)

All Algorithms implemented in Dart

NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

Basic implementations of standard cryptography algorithms, like AES and SHA-1.

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Implementing DeepSeek R1's GRPO algorithm from scratch