Reading Wikipedia to answer open-domain questions.
Directory
Search results
Published directory entries matching your search.
Telegram link is a Telegram channel, group, or bot link for updates, files, community posts, or support.
Telegram link is a Telegram channel, group, or bot link for updates, files, community posts, or support.
High performance library for time series distances (DTW) and time series clustering.
Design and Deploy Large Language Model Apps.
Python library for experiment metrics logging into simply formatted local files.
An evolutionary optimization library.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Browse research datasets and datasets related to computer.
Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android.
Engineering Blogs is a GitHub repository or organization with source code, releases, documentation, or project resources.
Knowledge-graph explorer for visualizing relationships between Wikidata entities.
Entitree is a GitHub repository or organization with source code, releases, documentation, or project resources.
Erik Dubois is a video resource with tutorials, demonstrations, reviews, or related media.
Es helps learn, search, or use command-line tools, shell commands, and terminal workflows.
Searchable repository for finding computer datasets and experimental data.
A library that builds, optimizes, and evaluates ML pipelines using domain-specific functions.
Uncover LLM evaluation's importance and explore methods for assessing its performance and impact across industries.
Talk by Princeton professor Arvind Narayanan.
EverybodyWiki helps explore knowledge, places, timelines, entities, or reference information from open sources.
Everypolitician.org is a GitHub repository or organization with source code, releases, documentation, or project resources.
AITV is the world's first AI streamer factory - built for creators, brands, and communities.
Learn to build and manage a successful data science organization.