Advanced-Deep-Learning-with-Keras
Keras-GAN
Advanced-Deep-Learning-with-Keras | Keras-GAN | |
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1 | 1 | |
1,716 | 9,105 | |
0.2% | - | |
0.0 | 0.0 | |
about 1 year ago | over 1 year ago | |
Python | Python | |
MIT License | MIT License |
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Advanced-Deep-Learning-with-Keras
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Cannot understand how REINFORCE model is trained
I have understood the concept of REINFORCE algorithm and what policy gradient is. However, when I see the code published by PacktPublishing, I was stuck with it.
Keras-GAN
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Help understanding specific GAN model
If your goal is just to use a GAN, you can start here https://github.com/eriklindernoren/Keras-GAN
What are some alternatives?
AdaVAE - [Preprint] AdaVAE: Exploring Adaptive GPT-2s in VAEs for Language Modeling PyTorch Implementation
OASIS - Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
Roundtrip - Roundtrip: density estimation with deep generative neural networks
ALAE - [CVPR2020] Adversarial Latent Autoencoders
SteganoGAN - SteganoGAN is a tool for creating steganographic images using adversarial training.
Speech_driven_gesture_generation_with_autoencoder - This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".
These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).