indonlu
The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020) (by IndoNLP)
NLU-engine-prototype-benchmarks
Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction. (by secretsauceai)
indonlu | NLU-engine-prototype-benchmarks | |
---|---|---|
1 | 1 | |
490 | 5 | |
0.0% | - | |
10.0 | 2.6 | |
over 1 year ago | about 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | Apache License 2.0 |
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.
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.
indonlu
Posts with mentions or reviews of indonlu.
We have used some of these posts to build our list of alternatives
and similar projects.
NLU-engine-prototype-benchmarks
Posts with mentions or reviews of NLU-engine-prototype-benchmarks.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-24.
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Make your own custom wakeword and other FOSS voice assistant solutions
This will be the next project we focus on. We will benchmark current solutions, improving general data sets, and publish information to help everyone improve upon their current NLU-NLG use cases. All of this is still a heavy work in progress. * NLU engine prototype benchmark and examples * Snips data set converter
What are some alternatives?
When comparing indonlu and NLU-engine-prototype-benchmarks you can also consider the following projects:
FinBERT - A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097
wakeword-data-collector - A prototype CLI in Python where a user can collect all of the recordings needed to produce a wakeword