Automated auditing, performance metrics, and best practices for the web.
🌌 The R easystats-project
sitespeed.io is an open-source tool for comprehensive web performance analysis, enabling you to test, monitor, and optimize your website’s speed using real browsers in various environments.
This is the development repository for sparkMeasure, a tool and library designed for efficient analysis and troubleshooting of Apache Spark jobs. It focuses on easing the collection and examination of Spark metrics, making it a practical choice for both developers and data engineers.
Websites monitoring via GitHub Actions (expiration, security, performances, privacy, SEO)
Omnitrace: Application Profiling, Tracing, and Analysis
Intel® Performance Counter Monitor (Intel® PCM)
Inspect and Debug your Tauri applications in style 💃
Designed and implemented an ANPR system using deep learning for accurate license plate identification. The project involved data preprocessing with OpenCV, TensorFlow, and OCR techniques for real-time identification. Model performance was evaluated using cross-validation and metrics like accuracy and F1 score.
Developed a sentiment analysis model to measure tweet positivity across regions using advanced NLP techniques. This project involved data preprocessing, feature engineering with TF-IDF and Doc2Vec, and training supervised machine learning models. Performance was validated using cross-validation and metrics like accuracy and precision
This is the issue repository for a typescript framework meant to performance test anything even remotely rest-like and related tools
A methodology designed to measure the contribution of the features to the predictive performance of any econometric or machine learning model.
Engage with a growing collection of Tableau dashboards covering financial trends, HR analytics, streaming service insights, real estate dynamics, and more. Meticulously crafted for valuable insights, this repository continues to expand with new and compelling visualizations.
Tools for diagnostics and assessment of (machine learning) models
Possibly the fastest DataFrame-agnostic quality check library in town.
Swift benchmark runner with many performance metrics and great CI support
Add a description, image, and links to the performance-metrics topic page so that developers can more easily learn about it.
To associate your repository with the performance-metrics topic, visit your repo's landing page and select "manage topics."