tensorflow / tensorflow/datasets
Kaggle downloader extension to jupyter notebook
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- Dominant language
- Python
- Stars
- 4.6k
- Forks
- 1.6k
- Avg merge
- 3h 54m
- Merged PRs (30d)
- 1
Description
Kaggle has a very extensive set of useful and interesting datasets. Instead of having separate DataBuilder instances for these datasets, I designed and implemented graphical user interface functionality embedded in a Jupyter Notebook that will enable a user to list, filter, select and automatically download Kaggle datasets. Considering Tensorflow is also used by people from different disciplines who don't have much software experience making this step as much automatic as possible is desirable.
Related pr #447.
Quick look:
I look forward to your feedbacks to improve extension.
Thank you !
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing related PR #447 and the notebook extension demonstrated in the issue’s GIF. Done means users can list, filter, select, and automatically download Kaggle datasets from a Jupyter Notebook, with the TensorFlow Datasets integration functioning as described.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python, tensorflow
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100