Advanced-Deep-Learning-with-Keras VS PyTorch-VAE

Compare Advanced-Deep-Learning-with-Keras vs PyTorch-VAE and see what are their differences.

Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt (by PacktPublishing)
Keras Gan vae reinforcement-learning autoencoder Deep Learning
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PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch. (by AntixK)
Pytorch pytorch-implementation vae vae-implementation Deep Learning reproducible-research paper-implementations pytorch-vae variational-autoencoders Architecture beta-vae vqvae gumbel-softmax celeba-dataset iwae wae dfc-vae
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Advanced-Deep-Learning-with-Keras PyTorch-VAE
1 5
1,716 6,013
0.2% -
0.0 0.0
about 1 year ago 7 months ago
Python Python
MIT License Apache License 2.0
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Advanced-Deep-Learning-with-Keras

Posts with mentions or reviews of Advanced-Deep-Learning-with-Keras. We have used some of these posts to build our list of alternatives and similar projects.

PyTorch-VAE

Posts with mentions or reviews of PyTorch-VAE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-29.

What are some alternatives?

When comparing Advanced-Deep-Learning-with-Keras and PyTorch-VAE you can also consider the following projects:

AdaVAE - [Preprint] AdaVAE: Exploring Adaptive GPT-2s in VAEs for Language Modeling PyTorch Implementation

Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

ALAE - [CVPR2020] Adversarial Latent Autoencoders

Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline

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".

6DRepNet - Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

qubo-nn - Classifying, auto-encoding and reverse-engineering QUBO matrices

Keras-GAN - Keras implementations of Generative Adversarial Networks.

disentangling-vae - Experiments for understanding disentanglement in VAE latent representations

torch-metrics - Metrics for model evaluation in pytorch

benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Advanced-Deep-Learning-with-Keras vs AdaVAE PyTorch-VAE vs Awesome-VAEs Advanced-Deep-Learning-with-Keras vs ALAE PyTorch-VAE vs Robo-Semantic-Segmentation Advanced-Deep-Learning-with-Keras vs Speech_driven_gesture_generation_with_autoencoder PyTorch-VAE vs 6DRepNet Advanced-Deep-Learning-with-Keras vs dnn_from_scratch PyTorch-VAE vs qubo-nn Advanced-Deep-Learning-with-Keras vs Keras-GAN PyTorch-VAE vs disentangling-vae PyTorch-VAE vs torch-metrics PyTorch-VAE vs benchmark_VAE