OpenKP vs BlingFire

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)

Suggest topics

Source Code

microsoft.github.io

Suggest alternative

Edit details

BlingFire

A lightning fast Finite State machine and REgular expression manipulation library. (by microsoft)

Suggest topics

Source Code

Suggest alternative

Edit details

Our great sponsors

WorkOS - The modern identity platform for B2B SaaS

InfluxDB - Power Real-Time Data Analytics at Scale

SaaSHub - Software Alternatives and Reviews

Our great sponsors

OpenKP		BlingFire
	Project
1	Mentions	2
149	Stars	1,781
1.3%	Growth	0.6%
1.9	Activity	3.6
11 months ago	Latest Commit	6 months ago
Python	Language	C++
MIT License	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...

BlingFire

Posts with mentions or reviews of BlingFire. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-27.

[D] SentencePiece, WordPiece, BPE... Which tokenizer is the best one?
3 projects | /r/MachineLearning | 27 Dec 2021

SentencePiece -> implementation of some algorithms (there are several others, https://github.com/microsoft/BlingFire https://github.com/glample/fastBPE https://github.com/huggingface/tokenizers )
Ask HN: Who is hiring? (March 2021)
22 projects | news.ycombinator.com | 1 Mar 2021

• Develop the best technology to bring deep learning solutions to unprecedented scale, for example we built the world's fastest tokenizer. [https://github.com/microsoft/BlingFire]

What are some alternatives?

When comparing OpenKP and BlingFire 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.

tokenizers - 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

autocomplete - IDE-style autocomplete for your existing terminal & shell

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

sgr - sgr (command line client for Splitgraph) and the splitgraph Python library

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

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:

fargate-game-servers - This repository contains an example solution on how to scale a fleet of game servers on AWS Fargate on Elastic Container Service and route players to game sessions using a Serverless backend. Game Server data is stored in ElastiCache Redis. All resources are deployed with Infrastructure as Code using CloudFormation, Serverless Application Model, Docker and bash/powershell scripts. By leveraging AWS Fargate for your game servers you don't need to manage the underlying virtual machines.

Nightmare - A high-level browser automation library.

parabol - Free online agile retrospective meeting tool