Implementation of a Basic Variational Auto-Encoder
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Updated
Sep 16, 2018 - Python
Implementation of a Basic Variational Auto-Encoder
Final project for Bayesian Theory and Computation (2021 spring) @ PKU.
unsupervised semantic segmentation for self driving cars with variational autoencoders, genetic algorithms and bayesian methods
Handwritten Digit Generation with VAE and GAN are applied.
Variational Auto Encoder in TensorFlow/Keras by TPUs
Variational Autoencoders implementation in Keras.
A simple variational autoencoder
Variational Autoencoder (MNIST handwritten digit database)
Neuroevolution of augmenting topologies for Weight Agnostic Neural Networks (WANN)
My personal experiments with variational autoencoders.
Tensorflow 2.x implementation of DFCVAE
Synthesizing sequence of images by learning latent dynamics and VAE
Sigma VAE with tensorflow implementation
Simple variational autoencoder trained on MNIST dataset. Created with use of PyTorch and PyTorch Lightning.
Multiome (RNA+ATAC from same cell) data generated by Qinyu Zhang in David Bryder's lab. Paper here: https://doi.org/10.7554/eLife.91826.2
[DCC 2020] Deep Clustering of Compressed Variational Embeddings
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