3 مستودعات
Awesome GitHub RepositoriesAlgorithm Performance Benchmarking
Tools for measuring and comparing the execution performance of different algorithmic implementations.
Distinct from Attribution Algorithm Benchmarks: Existing candidates are too specific to AI interpretability or formula evaluators.
Explore 3 awesome GitHub repositories matching testing & quality assurance · Algorithm Performance Benchmarking. Refine with filters or upvote what's useful.
Awesome Algorithm Performance Benchmarking GitHub Repositories
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- omkarpathak/pygorithm
OmkarPathak/pygorithm
4,385عرض على GitHubPygorithm هي مكتبة خوارزميات بلغة Python ومرجع للمنطق الحسابي. توفر مجموعة من تطبيقات الخوارزميات القياسية وأدوات لتحليل كفاءة وقت التشغيل وأداء القياس لوظائف محددة. يُمكّن المشروع من فحص الكود المصدري الأساسي للوظائف الداخلية لدراسة كيفية هيكلة المنطق وتنفيذه. كما يربط تطبيقات محددة بتعقيدها الزمني والمكاني النظري لتحليل الأداء. تم تنظيم المكتبة في وحدات منفصلة تدعم تنفيذ أنماط الخوارزميات القياسية عبر مجموعات بيانات متغيرة. وهي تتضمن قدرات لقياس أداء تطبيقات Python وحساب التعقيد المقارب (Asymptotic Complexity).
Provides capabilities for benchmarking Python implementations to evaluate the performance of different computational approaches.
Python - open-quantum-safe/liboqs
open-quantum-safe/liboqs
2,979عرض على GitHubLiboqs is a C library that provides a unified interface for quantum-resistant cryptographic algorithms, including key encapsulation and digital signature mechanisms. It is designed to facilitate the integration of post-quantum security into existing protocols and applications, ensuring data protection against future threats from large-scale quantum computers. The library distinguishes itself through a focus on high-assurance implementations and side-channel resistance, utilizing constant-time primitives to prevent timing-based information leakage. It offers extensive build-time configuration,
Evaluates the execution speed and efficiency of security algorithms using high-precision hardware counters.
Ccryptographykey-exchange-algorithmslattice-based-crypto - vincentqyw/image-matching-webui
Vincentqyw/image-matching-webui
1,283عرض على GitHubThis project is a web-based platform designed for benchmarking, visualizing, and evaluating computer vision algorithms focused on image feature extraction and matching. It provides a unified interface to compare the performance and accuracy of different models by processing image pairs or live video streams. The system distinguishes itself through a modular architecture that allows users to define custom processing pipelines and register external algorithms via configuration files. It incorporates geometric verification techniques to refine visual data and improve the precision of detected co
Evaluates the accuracy and speed of different feature extraction and matching models through a visual benchmarking interface.
Pythonaspanformerdeep-learningfeature-matching
