ddb-extraction VS stanford-openie-python

Compare ddb-extraction vs stanford-openie-python and see what are their differences.

ddb-extraction

Extract the samples of a DDB Vocaloid file. (by 641i130)
vocaloid ddb extraction Reverse Engineering utau voicebank

DISCONTINUED

Suggest alternative
Edit details

stanford-openie-python

Stanford Open Information Extraction made simple! (by philipperemy)
extraction stanford python-wrapper NLP stanford-openie
Source Code
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
ddb-extraction stanford-openie-python
1 1
37 617
- -
3.2 4.3
8 months ago 4 months ago
Python Python
MIT License ISC 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.

ddb-extraction

Posts with mentions or reviews of ddb-extraction. We have used some of these posts to build our list of alternatives and similar projects.

stanford-openie-python

Posts with mentions or reviews of stanford-openie-python. We have used some of these posts to build our list of alternatives and similar projects.
  • “[Project]” Manual Annotation Tool for Relation Extraction
    1 project | /r/MachineLearning | 7 Sep 2021
    What would your relation look like? If it going to be rather abstract like a relation in a knowledge base (e.g., per:child_of)? Or is it okay if it's more free form? If it's the latter then I'd recommend looking at open information extraction tools. There's a Python implementation of Stanford's OpenIE system from 2015 here and there are other works that have open-sourced their code.

What are some alternatives?

When comparing ddb-extraction and stanford-openie-python you can also consider the following projects:

rakun2 - RaKUn 2.0 - A fast keyword detection algorithm

stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

unblob - Extract files from any kind of container formats

python-sutime - Python wrapper for Stanford CoreNLP's SUTime

unrpa - A program to extract files from the RPA archive format.

baresipy - baresip python wrapper

adversarial-robustness-toolbox - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

tika-python - Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.

ddb-extraction vs rakun2 stanford-openie-python vs stanford-tensorflow-tutorials ddb-extraction vs unblob stanford-openie-python vs python-sutime ddb-extraction vs unrpa stanford-openie-python vs baresipy ddb-extraction vs adversarial-robustness-toolbox stanford-openie-python vs unrpa ddb-extraction vs tika-python