Advanced-Deep-Learning-with-Keras
AdaVAE
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| Advanced-Deep-Learning-with-Keras | AdaVAE | |
|---|---|---|
| 1 | 1 | |
| 1,716 | 32 | |
| 1.6% | - | |
| 0.0 | 3.6 | |
| about 1 year ago | 6 months 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.
AdaVAE
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[D] [R] AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling
Code for https://arxiv.org/abs/2205.05862 found: https://github.com/ImKeTT/adavae
What are some alternatives?
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
Caption-Anything - Caption-Anything is a versatile tool combining image segmentation, visual captioning, and ChatGPT, generating tailored captions with diverse controls for user preferences. https://huggingface.co/spaces/TencentARC/Caption-Anything https://huggingface.co/spaces/VIPLab/Caption-Anything
ALAE - [CVPR2020] Adversarial Latent Autoencoders
transfer-learning-conv-ai - 🦄 State-of-the-Art Conversational AI with Transfer Learning
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".
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
Keras-GAN - Keras implementations of Generative Adversarial Networks.