Modernhn collects or organizes headlines and links for browsing news from multiple sources.
Directory
Search results
Published directory entries matching your search.
Search an online collection of books, documents, media and archival records.
UI component collection with animated Tailwind and React components for modern websites.
The broad reference for classical AI, including search, reasoning, planning, learning, and robotics.
Helps find, analyze or synthesize information for research and knowledge discovery.
C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.
Simple yet flexible JavaScript charting library for the modern web.
A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.
Drop-in replacement for Jupyter and an AI-native workspace for modern data teams.
The modern Essentials suite for Spigot and Paper.
Python distributed computing library for modern computer clusters.
Ignite your models into blazing-fast machine learning APIs with a modern framework.
A modern and intuitive Chrome extension that brings your favorite OSINT tools, metadata analyzers, and Google Dorking assistants right into your browser.
One of the most popular modern web proxies with blazing fast speeds and a variety of games.
Modern columnar data format for ML implemented in Rust.
MeTA: ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.
A granting program funding projects that preserve endangered archival materials from the 20th and 21st centuries.
Browse digitized texts, images, archives and cataloged cultural materials.
N_m3u8DL-RE — Cross-Platform, modern and powerful stream downloader for MPD/M3U8/ISM.
Database of digitized books from the Early Modern period.
A workflow management system, designed for modern infrastructure.
Search an online collection of books, documents, media and archival records.
Pycord is a modern, easy to use, feature-rich, and async ready API wrapper for Discord written in Python
A C++ library for unsupervised text tokenization and detokenization, widely used in modern NLP models.