aws-samples / aws-samples/aws-ml-jp
SageMaker NLP examples for Japanese を aws-ml-jp から参照、あるいは統合する。
Open
- Dominant language
- Jupyter Notebook
- Stars
- 168
- Forks
- 42
- PR merge metrics
- No merged PRs in 30d
Description
SageMaker で自然言語処理を行うためのExampleが別リポジトリにあるため、参照するか統合を行うことでサンプルへ容易にアクセスできるようにする。
https://github.com/AtsunoriFujita/sagemaker_nlp_examples
Contributor guide
Research direction
Start by reviewing the linked sagemaker_nlp_examples repository and the existing aws-ml-jp example structure. Decide whether a reference or integration best fits the project, then make the Japanese SageMaker NLP examples easily accessible and verify that the chosen organization is clear to users.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100