linkedin/Avro2TF
Avro2TF is designed to fill the gap of making users' training data ready to be consumed by deep learning training frameworks.
Is linkedin/Avro2TF beginner-friendly?
We have not seen enough recent pull requests from outside contributors to linkedin/Avro2TF to say how often they are merged. No beginner-friendly issue is open right now; the list below has the other issues we hold for it.
- Stars
- 128
- Forks
- 21
- Open beginner issues
- 0
- Indexed issues
- 15
- Dominant language
- Scala
- License
- BSD-2-Clause
- Last GitHub push
- Apr 21, 2020
- Latest indexed
- Sep 19, 2026
- Contributing guide
- Contributing guide
- Code of conduct
- No code of conduct
- Beginner labels
- No beginner labels indexed
- PR merge metrics
- No merged PRs in 30d
How to contribute to linkedin/Avro2TF
- Read the contributing guide first: it says how the maintainers want changes proposed, tested and reviewed.
- Your contributions will be published under the project's BSD-2-Clause license.
- Follow the repository to hear when a new beginner-friendly issue opens, or look through the other issues below.
Issues somebody may already be working on are listed last. List everything by date
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Difficulty 2/5 1-3 hours Newbie friendliness 35/100
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Difficulty 3/5 1-2 days Newbie friendliness 45/100
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Difficulty 5/5 Over a week Newbie friendliness 15/100
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Difficulty 4/5 3-5 days Newbie friendliness 30/100
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Difficulty 5/5 Over a week Newbie friendliness 15/100
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Difficulty 5/5 Over a week Newbie friendliness 15/100
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Difficulty 5/5 Over a week Newbie friendliness 20/100
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Difficulty 4/5 3-5 days Newbie friendliness 35/100
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Difficulty 5/5 Over a week Newbie friendliness 20/100
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Difficulty 4/5 3-5 days Newbie friendliness 30/100
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Difficulty 5/5 Over a week Newbie friendliness 20/100
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Difficulty 5/5 Over a week Newbie friendliness 20/100
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Difficulty 5/5 Over a week Newbie friendliness 15/100
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Difficulty 5/5 Over a week Newbie friendliness 20/100