OpenKP VS autocomplete

Compare OpenKP vs autocomplete and see what are their differences.

OpenKP

Automatically extracting keyphrases that are salient to the document meanings is an essential step to semantic document understanding. An effective keyphrase extraction (KPE) system can benefit a wide range of natural language processing and information retrieval tasks. Recent neural methods formulate the task as a document-to-keyphrase sequence-to-sequence task. These seq2seq learning models have shown promising results compared to previous KPE systems The recent progress in neural KPE is mostly observed in documents originating from the scientific domain. In real-world scenarios, most potential applications of KPE deal with diverse documents originating from sparse sources. These documents are unlikely to include the structure, prose and be as well written as scientific papers. They often include a much diverse document structure and reside in various domains whose contents target much wider audiences than scientists. To encourage the research community to develop a powerful neural m (by microsoft)
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OpenKP autocomplete
1 164
149 24,265
1.3% 1.6%
1.9 9.6
11 months ago 6 days ago
Python TypeScript
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

OpenKP

Posts with mentions or reviews of OpenKP. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-01.
  • Ask HN: Who is hiring? (March 2021)
    22 projects | news.ycombinator.com | 1 Mar 2021
    • Establish new benchmarks for natural language understanding tasks such as key phrase extraction. [https://github.com/microsoft/OpenKP]

    We are looking for a passionate Applied Scientist with demonstrable skills in information retrieval, deep learning, natural language processing and/or large-scale distributed computing.

    https://careers.microsoft.com/us/en/job/990004/Sr-Data-Appli...

autocomplete

Posts with mentions or reviews of autocomplete. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-12.

What are some alternatives?

When comparing OpenKP and autocomplete you can also consider the following projects:

python-fake-data-producer-for-apache-kafka - The Python fake data producer for Apache Kafka® is a complete demo app allowing you to quickly produce JSON fake streaming datasets and push it to an Apache Kafka topic.

ohmyzsh - 🙃 A delightful community-driven (with 2,300+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

BlingFire - A lightning fast Finite State machine and REgular expression manipulation library.

fzf-tab - Replace zsh's default completion selection menu with fzf!

Mattermost - Mattermost is an open source platform for secure collaboration across the entire software development lifecycle..

Warp - Warp is a modern, Rust-based terminal with AI built in so you and your team can build great software, faster.

Baserow - Open source no-code database and Airtable alternative. Create your own online database without technical experience. Performant with high volumes of data, can be self hosted and supports plugins

starship - ☄🌌️ The minimal, blazing-fast, and infinitely customizable prompt for any shell!

Stream-Framework - Stream Framework is a Python library, which allows you to build news feed, activity streams and notification systems using Cassandra and/or Redis. The authors of Stream-Framework also provide a cloud service for feed technology:

hyperterm - A terminal built on web technologies

Nightmare - A high-level browser automation library.

zsh-autocomplete - 🤖 Real-time type-ahead completion for Zsh. Asynchronous find-as-you-type autocompletion.