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)
CodeSearchNet
Datasets, tools, and benchmarks for representation learning of code. (by github)
indonlu | CodeSearchNet | |
---|---|---|
1 | 2 | |
490 | 1,904 | |
0.0% | - | |
10.0 | 0.0 | |
over 1 year ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | MIT 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.
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.
CodeSearchNet
Posts with mentions or reviews of CodeSearchNet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-04.
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Fine tuning
The CodeSearchNet challenge provides a dataset of code documentation comments, along with pre-trained models and fine-tuning scripts. You can find the challenge and resources at https://github.com/github/CodeSearchNet.
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Speedtyper.dev: Type racing for programmers
https://github.com/github/CodeSearchNet#downloading-data-from-s3