Unlock the world of clandestine communication with Python's XOR cipher, enabling the concealment and revelation of messages through sophisticated encryption and decryption techniques.

A repository showcasing implementations of various algorithms, including graph algorithms (BFS, DFS, Dijkstra, Kruskal), dynamic programming solutions, and more. Designed for learning, practice, and demonstration of algorithmic problem-solving.

🎤 Fine-tune the Llasa TTS model with GRPO using Hugging Face tools to enhance performance and evaluate rewards with Whisper ASR and WER metrics.

Genetic Algorithm framework for solving the Traveling Salesman Problem (TSP) using evolutionary computation techniques.

Этот репозиторий содержит материалы для выполнения лабораторных работ по курсу "Моделирование систем" . Здесь вы найдете реализации различных моделей, включая: Моделирование случайных величин. Анализ систем массового обслуживания (СМО). Статистический анализ данных. Сравнение алгоритмов сортировки и другие задачи.

An implementation of the stream cypher cryptographic algorithm: Trivium

Comprehensive Python implementation of 17+ data structures (LinkedList, AVL/Red-Black Trees, Graphs, Heaps) and classic algorithms (sorting, searching). Educational resource with complexity analysis and examples.

Implementation of online exploration algorithms for different graph classes

⚛️ Build cutting-edge quantum supercomputers with Quantum OS, a robust framework supporting multiple backends and advanced error correction for improved performance.

A Python collection of advanced image processing algorithms implemented from scratch, including K-Means clustering, Mean-Shift segmentation, SLIC superpixels, interactive GrabCut, and Active Contours (Snakes).

🌟 Enhance low-light images by learning features directly from training data using Learnable Feature Patches and Vectors in this PyTorch implementation.