indonlu VS FinBERT

Compare indonlu vs FinBERT 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)

FinBERT

A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097 (by yya518)
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indonlu FinBERT
1 1
490 522
0.0% -
10.0 0.0
over 1 year ago 9 months 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.

indonlu

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

FinBERT

Posts with mentions or reviews of FinBERT. We have used some of these posts to build our list of alternatives and similar projects.
  • New to hugginface - A question
    1 project | /r/huggingface | 26 Sep 2022
    For FinBERT the trained model has an Apache license https://github.com/yya518/FinBERT/blob/master/LICENSE but the data is semi-public so I would be careful for commercial use.

What are some alternatives?

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

SKAB - SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.

SuiSense - Using Artificial Intelligence to distinguish between suicidal and depressive messages (4th Place Congressional App Challenge)

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

nlphose - Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark !

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.

converse - Conversational text Analysis using various NLP techniques

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.

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

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