indonlu VS SKAB

Compare indonlu vs SKAB and see what are their differences.

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)
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indonlu SKAB
1 9
490 292
0.0% -
10.0 4.8
over 1 year ago 8 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 GNU General Public License v3.0 only
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.

indonlu

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

SKAB

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

What are some alternatives?

When comparing indonlu and SKAB you can also consider the following projects:

FinBERT - A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097

Tegridy-MIDI-Dataset - Tegridy MIDI Dataset for precise and effective Music AI models creation.

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

raccoon_dataset - The dataset is used to train my own raccoon detector and I blogged about it on Medium

adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

fma - FMA: A Dataset For Music Analysis

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.

COVID-CT - COVID-CT-Dataset: A CT Scan Dataset about COVID-19

kumpulan-kata-bahasa-indonesia-KBBI - Database kamus kumpulan kata dalam bahasa Indonesia sesuai KBBI (Indonesian word list database based on KBBI)

medmcqa - A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.

openfema-samples - Code, dataset, and analysis samples that utilize the OpenFEMA API.