cianeastwood / qedr
Quantitative evaluation of disentangled representations
☆61Updated 6 years ago
Alternatives and similar repositories for qedr:
Users that are interested in qedr are comparing it to the libraries listed below
- ☆75Updated 9 months ago
- ☆89Updated 5 years ago
- Disentanglement library for PyTorch☆277Updated 2 years ago
- Assessing Generative Models via Precision and Recall (official repository)☆104Updated 2 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
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆83Updated 2 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆348Updated 2 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 5 years ago
- Code for the paper "Contrastive Learning Inverts the Data Generating Process".☆90Updated 6 months ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆268Updated 6 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆105Updated 6 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆91Updated 4 years ago
- This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of …☆139Updated 11 months ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆70Updated 2 years ago
- [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs☆41Updated 4 years ago
- Pytorch Implementation of "Neural Discrete Representation Learning"☆86Updated 6 years ago
- ☆26Updated 6 years ago
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- ☆233Updated 5 years ago
- Starter Kit for the NeurIPS 2019 Disentanglement Challenge☆33Updated 2 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆227Updated 6 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆82Updated 6 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆40Updated 6 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- ☆50Updated 4 years ago
- A Disentangling Invertible Interpretation Network☆121Updated 3 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆149Updated 5 years ago
- An implementation of the MONet model for unsupervised scene decomposition in PyTorch☆58Updated 2 years ago