akanimax / Variational_Discriminator_Bottleneck
Implementation (with some experimentation) of the paper titled "VARIATIONAL DISCRIMINATOR BOTTLENECK: IMPROVING IMITATION LEARNING, INVERSE RL, AND GANS BY CONSTRAINING INFORMATION FLOW" (arxiv -> https://arxiv.org/pdf/1810.00821.pdf)
☆153Updated 6 years ago
Alternatives and similar repositories for Variational_Discriminator_Bottleneck:
Users that are interested in Variational_Discriminator_Bottleneck are comparing it to the libraries listed below
- Code for image generation of Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Inf…☆142Updated 2 years ago
- ☆85Updated 5 years ago
- ☆123Updated 7 years ago
- Pytorch Implementation of OpenAI's GLOW☆93Updated 3 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆149Updated 5 years ago
- ☆74Updated 10 months ago
- A PyTorch implementation of the VQ-VAE-2 paper☆75Updated 5 years ago
- ☆121Updated 5 years ago
- dcgan combined with vae in pytorch!☆116Updated 6 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆245Updated 6 years ago
- Simple Tensorflow Implementation of "Spectral Normalization for Generative Adversarial Networks" (ICLR 2018)☆141Updated 6 years ago
- VQ-VAE implementation / pytorch☆180Updated 7 years ago
- TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).☆42Updated 7 years ago
- Training a MNIST classifier, and use it to compute inception score (ICP)☆27Updated 7 years ago
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆80Updated 7 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 5 years ago
- Implementation of PPO in Pytorch☆41Updated 7 years ago
- PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016☆73Updated 7 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Replicating "Understanding disentangling in β-VAE"☆197Updated 6 years ago
- This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (htt…☆72Updated 6 years ago
- Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)☆98Updated 3 years ago
- This is an almost exact replica in PyTorch of the Tensorflow version of Self-Attention GAN released by Google Brain in August 2018.☆173Updated 6 months ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 7 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 6 years ago
- Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)☆157Updated 2 years ago
- PyTorch Implementation of Unrolled Generative Adversarial Networks☆39Updated 6 years ago
- Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"☆90Updated 7 years ago