New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Support to FastAI #4924
Comments
It totally could be possible. I know a few people from the FastAI Audio group who might be interested in helping. @rbracco ? |
@madhavajay Thank you so much, I have created a new post on the FastAI forum. |
Looking forward to seeing how you get along with this! :D
|
@rondey I am a big FastAI fan myself but we don't have the bandwidth to start this right now while we are building support for all the other libraries needed to provide the PPML functionality you mentioned in the FastAI forum post. 😂. However if you are interested in opening an initial PR on this I can walk you through the process. ❤️ |
I like the idea, but actually I have a paper to complete (I'm using PySyft for the implementation). |
@rondey No worries, I am sure we will get to very soon, but we just have a few priorities of our own as well. 😊 Good luck with the paper and thanks for using PySyft in the implementation. ❤️ |
Thank you! I perfectly understand your priorities |
This is going into a backlog, don't worry, we will be doing this. 😊 |
Feature Description
It could be great write private neural networks using the modern best practices implemented in FastAI. I tried PySyft 0.2 alongside with FastAI (v1) and they are not perfectly compatible each other. Do you think is possible make compatible the new PySyft 0.3 with FastAI v2?
The text was updated successfully, but these errors were encountered: