maxout
Maxout Networks (by paniabhisek)
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers (by yunjey)
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| maxout | pytorch-tutorial | |
|---|---|---|
| 1 | 3 | |
| 4 | 29,093 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | 8 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | 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.
maxout
Posts with mentions or reviews of maxout.
We have used some of these posts to build our list of alternatives
and similar projects.
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D Simple Questions Thread December 20 2020
From what I can tell maxout when used against the output of a CNN takes all of the output filters and takes the max value from all of them reducing that output down to a single output filter. Currently, I am using this implementation of maxout: https://github.com/paniabhisek/maxout/blob/master/maxout.py#L101
pytorch-tutorial
Posts with mentions or reviews of pytorch-tutorial.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-09.
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PyTorch - What does contiguous() do?
I was going through this example of a LSTM language model on github (link).What it does in general is pretty clear to me. But I'm still struggling to understand what calling contiguous() does, which occurs several times in the code.
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How to 'practice' pytorch after finishing its basic tutorial?
I tried to move straight to practicing implementing papers and trying to understand other people's codes but failed miserably. I feel like there was too much of a gap between the basic tutorial and being able to implement ideas into code....hence the question: Is there any resource/way to practice pytorch in general? I did find this and this, but I just wanted to hear what others have gone through to become better at PyTorch up to the point they can build stuff from their own ideas
- [P] Probabilistic Machine Learning: An Introduction, Kevin Murphy's 2021 e-textbook is out
What are some alternatives?
When comparing maxout and pytorch-tutorial you can also consider the following projects:
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
mixture-of-experts - PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538