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omerbsezer / Generative_Models_Tutorial_with_Demo

Star 301

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

tutorial generative-adversarial-network dcgan generative-model gaussian-mixture-models auto-regressive-model gans bayesian-classifiers variational-inference tutorial-code variational-autoencoder cyclegan
  • Updated Jan 21, 2019
  • Jupyter Notebook

RubensZimbres / Repo-2018

Star 166

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

raspberry-pi opencv iot computer-vision tensorflow keras coco aws-ec2 ec2-instance aws-iot opencv-library generative-adversarial-networks raspberry-pi-3 opencv3 cyclegan haarcascade sagemaker yolo-model ubuntucore aws-sagemaker
  • Updated Dec 6, 2021
  • Jupyter Notebook

victorca25 / traiNNer

Star 157
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[Feature Request] Curriculum Training for Augmentations

kimberly990
kimberly990 commented Oct 1, 2021

The ability to change which augmentation preset is being used at different points in training would be great. For example, at 10k iterations, resrgan_blur could be used, but at 30k it's automatically switched to bsrgan_blur.

This was discussed in the #trainner channel on the GU Discord server

Edit: A possible expansion on this idea, augmentation preset strengths. I'm not sure how it'd functi

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enhancement good first issue

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