EfficientWord-Net
gan-vae-pretrained-pytorch
EfficientWord-Net | gan-vae-pretrained-pytorch | |
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2 | 1 | |
209 | 170 | |
1.4% | - | |
1.2 | 0.0 | |
17 days ago | almost 3 years ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | - |
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EfficientWord-Net
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New Opensource Hotword Detector : EfficientWord-Net
Github Link : https://github.com/Ant-Brain/EfficientWord-Net
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EfficientWord-Net: An Open Source hotword detector
This has been our undergrad project. Hence your support and encouragement will motivate us to develop the engine. If you loved this project recommend this to your peers, give us a 🌟 in GitHub and a clap 👏 in the medium.
gan-vae-pretrained-pytorch
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DCGAN (CIFAR-10) Generating fake images is easy, but how to also output the class label (1 to 10) with the fake generated images?
I have this DCGAN model (https://github.com/csinva/gan-vae-pretrained-pytorch/tree/master/cifar10_dcgan) which generates fake Cifar-10 images. However I also want to get the intended class label output with the fake generated images. How can I do this? This model which I found only generates fake images but doesn't know what class the generated images belong to.
What are some alternatives?
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