Comments (5)
Thanks for the clarification.
FWIW, https://choosealicense.com has options both for code (applicable to https://github.com/vahidk/TensorflowFramework) as well as this repo (which isn't code). E.g., Creative Commons licenses are widely used for text/documentation. Of course, the choice of license (or to have no license, defaulting to "all rights reserved" copyright) is up to you, and it sounds like you've chosen to do that and handle exceptions on a case-by-case basis.
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@vahidk — you closed the bug without comment, but I also didn't see a LICENSE
file added to the repo. Can you please clarify your thoughts on this?
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It seemed like a mass copy pasted message that's why I didn't comment. This repo is a tutorial. What percentage of tutorials/ebooks come with an open source license?
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The question is not whether it's a tutorial or a production system; the question is what can users do with this content (e.g., can they redistribute it? can they extend it? can they modify or update it? etc.). From a copyright perspective, a lack of a license prohibits these activities and others.
Please see the docs I quoted from GitHub regarding what a lack of a license does for this repo; they have an entire site on this: https://choosealicense.com, specifically, please take a look at https://choosealicense.com/no-permission/ which describes this situation in detail.
My comment above got a 👍 vote from another user, so clearly it's relevant and important for other users of your repos. Please consider adding an open-source license to your repositories.
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My point is, it's a tutorial. It could be on Medium and you wouldn't comment on having a license file for it. I'm using Github as a publishing platform. The way it currently works is that people who want to use this material just send me an email and I usually tell them it's okey to use to this material. So it's on a case by case basis. If you really are interested to use this material personally we can discuss privately. I might add a license later. I just am not sure what's a suitable license at this point.
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Related Issues (18)
- tf.name_scope & variables HOT 1
- Explain why tf.nn.softmax isn't used for entropy HOT 2
- TensorFlow data input HOT 1
- why multi gpu is slower than single gpu HOT 3
- Avoiding blocking of processes due to lack of data HOT 2
- Why use static shapes while converting the Tensor of rank 3 to rank 2? HOT 2
- Fix import of TFRecordDataset HOT 1
- typo? HOT 1
- how does the `get_shape` function work with placeholders? HOT 4
- Mistake in "Scopes and when to use them" HOT 1
- Detailed comments. HOT 1
- tf.AUTO_REUSE work with tf.layers.conv2d HOT 1
- Where are the trainable variables placed in the "Multi-GPU processing with data parallelism " ? HOT 1
- Multi-GPU code HOT 1
- Mistake in "broadcasting good and ugly" HOT 1
- Mistake in “Broadcasting the good and the ugly” HOT 1
- Check your gradients with tf.compute_gradient_error - softmax applied twice. HOT 1
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