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A convenience wrapper over Pytorch
Faster research and experimentation
Based on fastai
Not tooo high level and meant only for the "bit" advanced researcher
Many many convenience functions that one would need
(This library is not stable right now. Everything works of course, but they will be changed and rearranged eventually)
Check features.md for a full list
Okay so writing examples will take forever, so please check function documentation and the demos folder for most of what you need
Check the syntax folder for documentation
Check demos folder
Function documentation
There will be blogs on the topics that were required and more here
I loved fastai, but in many things didnt agree with the way they went. I also needed some extra features that might have not ever been approved
I wanted to learn DL even better. Thanks to the fastai course, I could do that. What better way to learn than make a whole library?
On my way to be a better researcher, I have to take apart the things I take for granted. So, heres the cure for it.
pip install -r requirements.txt
Feel free to suggest requests or changes. Especially if I have made any mistakes
Unlike the original fastai, this is just by me. Mainly for my research. In the spirit of open source, I wanted to share it here :)
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pytorch wrapper for easier experimentation
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