Showing 21-40 of 158 projects
A Python library that empowers developers to build applications and systems with self-contained computer vision capabilities.
A performance dashboard for Postgres, providing insights and optimization recommendations for developers.
A comprehensive collection of study materials for deep learning interviews, covering various topics like machine learning, computer vision, and NLP.
A modular and extendible Python package for deep learning-based click-through rate prediction models.
Loadable Components is a recommended code splitting library for React that enables dynamic imports.
Solutions and notes for the Machine Learning Specialization by Andrew NG on Coursera.
A Prettier plugin that automatically sorts Tailwind CSS classes based on recommended order
Officially maintained deep learning models by PaddlePaddle, covering computer vision, NLP, speech, and more.
Vespa is an AI-powered search and recommendation engine for building data-driven, scalable applications.
An educational tutorial on recommendation systems built with Python, including algorithms and use cases.
A Python library for building and analyzing recommender systems, including collaborative filtering and matrix factorization.
A guide for data sharing best practices, focused on the Leek group's recommendations.
A curated list of must-read papers on recommender systems, covering collaborative filtering, deep learning, and more.
A benchmarking script for testing VPS performance across various Linux distributions and cloud providers.
The Azure SDK for .NET provides a set of libraries and tools for building, deploying, and managing Azure applications.
A SQL optimization tool that provides index recommendations to improve query performance.
A full-stack Java project including a novel portal, author backend, and platform admin with features like novel recommendation, reading, and commenting.
The Azure SDK for Python provides a seamless experience for developers to interact with Azure services.
This is a collection of recommended math books for developers, not a developer discovery platform focused on vibe coders.
A set of best practices for building AngularJS applications, recommended by the community.
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