google-deepmind / dsprites-dataset
Dataset to assess the disentanglement properties of unsupervised learning methods
☆483Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for dsprites-dataset
- PyTorch implementations of algorithms for density estimation☆577Updated 3 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆461Updated 5 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆343Updated 2 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,388Updated 3 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆887Updated 6 months ago
- Replicating "Understanding disentangling in β-VAE"☆195Updated 6 years ago
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆539Updated 5 years ago
- Disentanglement library for PyTorch☆274Updated 2 years ago
- Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"☆518Updated 5 years ago
- Pytorch implementation of β-VAE☆525Updated 3 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆223Updated 6 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 6 years ago
- Code for Implicit Generation and Generalization with Energy Based Models☆345Updated last year
- Simple, extendable, easy to understand Glow implementation in PyTorch☆376Updated 2 years ago
- Experiments for understanding disentanglement in VAE latent representations☆795Updated last year
- i-RevNet Pytorch Code☆390Updated 3 years ago
- Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"☆436Updated last year
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆262Updated 6 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆417Updated 2 years ago
- A curated list of research papers related to learning disentangled representations☆464Updated 5 years ago
- ☆230Updated 5 years ago
- This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of …☆135Updated 8 months ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆707Updated 4 years ago
- A PyTorch library for two-sample tests☆237Updated last year
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆629Updated 4 years ago
- Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN,…☆500Updated 6 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆846Updated 4 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆206Updated 6 years ago
- Wasserstein Auto-Encoders☆509Updated 6 years ago