brain-research / acaiLinks
Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"
☆244Updated 7 years ago
Alternatives and similar repositories for acai
Users that are interested in acai are comparing it to the libraries listed below
Sorting:
- VQ-VAE implementation / pytorch☆184Updated 8 years ago
- Replicating "Understanding disentangling in β-VAE"☆200Updated 7 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆470Updated 6 years ago
- ☆124Updated 7 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆94Updated 8 years ago
- Implementation of VLAE☆214Updated 8 years ago
- ☆219Updated 7 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆208Updated 7 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆237Updated 7 years ago
- Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).☆262Updated 7 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆95Updated 8 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆92Updated 8 years ago
- Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"☆90Updated 7 years ago
- Implementation of Real-NVP in Tensorflow☆101Updated 7 years ago
- Variational auto-encoder trained on celebA . All rights reserved.☆185Updated 8 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆171Updated 8 years ago
- Official implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"☆95Updated 7 years ago
- AdaGAN: greedy iterative procedure to train mixtures of GANs☆78Updated 8 years ago
- A machine learning library for PyTorch☆94Updated 3 years ago
- code for "Adversarial Feature Learning"☆239Updated 3 years ago
- Implementation (with some experimentation) of the paper titled "VARIATIONAL DISCRIMINATOR BOTTLENECK: IMPROVING IMITATION LEARNING, INVER…☆152Updated 7 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 8 years ago
- An implementation of VAEGAN (variational autoencoder + generative adversarial network).☆93Updated 8 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 8 years ago
- ☆117Updated 6 years ago
- Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)☆250Updated 8 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 9 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆81Updated 8 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆214Updated 5 years ago