-
Notifications
You must be signed in to change notification settings - Fork 80
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
Is there any available, ready-to-use model/nets? #3
Comments
Hi, Thanks for your interest. When I'm next in the office, I'll check to see if I have any trained neural nets that I can provide. No promises, though! Have a good weekend, |
I've uploaded a few nets to my FTP server:
|
Hi, may i have the pretrained model as well? Thanks in advance. |
thank you for your interest. Now that I have left Imperial, I'm afraid that pre-trained models are no longer available. Sorry. I'd highly recommend using a modern DeepLearning framework like TensorFlow for NILM work now-a-days. |
Thanks for the reply, maybe i will just do it step by step. By the way, your advice was most appreciate. |
For anyone interested in this, I have successfully reimplemented Jack Kelly's rectangles architecture using Keras and made it available here: https://github.com/maechler/nnilm |
Great work! Thanks! |
Hi Kelly, thanks for sharing your work. I am trying to run this code, but encounter the same problem as #2
I understand that you are not supporting this repo anymore. However, I am just curious, do you have trained nets that we can just use for your test set? Because I see each experiment code (e575, e576, etc) and I guess all of them require nets for each appliance to be created/trained from scratch. And I dont see trained nets inside neuralnilm subdirectory.
Thanks again!
The text was updated successfully, but these errors were encountered: