mzgubic / MINELinks
Mutual Information Neural Estimator implemented in Tensorflow
☆46Updated 6 years ago
Alternatives and similar repositories for MINE
Users that are interested in MINE are comparing it to the libraries listed below
Sorting:
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- ☆91Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- ☆29Updated 3 years ago
- Gaussian Process Prior Variational Autoencoder☆84Updated 6 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆29Updated 7 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Variational Autoencoder with Arbitrary Conditioning☆81Updated last year
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Variational auto encoder in pytorch☆57Updated 6 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- Code for Variational Laplace Autoencoders☆54Updated 2 years ago
- PyTorch implementation of "Auto-Encoding Variational Bayes"☆41Updated 8 years ago
- Sliced Wasserstein Generator☆23Updated 6 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 7 years ago
- A Pytorch Implementation of the Beta-VAE☆44Updated 5 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆108Updated 7 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆62Updated 6 years ago
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆81Updated 4 years ago
- A tensorflow implementation of the Sinkhorn Distance calculation☆27Updated 6 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆152Updated 5 years ago
- tensorflow implementation of the Wasserstein (aka optimal transport) distance☆72Updated 4 years ago
- Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"☆43Updated 5 years ago