ddb-extraction
Extract the samples of a DDB Vocaloid file. (by 641i130)
stanford-openie-python
Stanford Open Information Extraction made simple! (by philipperemy)
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.
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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.
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.
-
How to open ddb files/get the original voice recordings?
Here's a .DDB extractor that I found! https://github.com/641i130/ddb-extraction
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
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