stanfordmlgroup / disentanglementLinks
Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
☆36Updated 4 years ago
Alternatives and similar repositories for disentanglement
Users that are interested in disentanglement are comparing it to the libraries listed below
Sorting:
- Very deep VAEs in JAX/Flax☆46Updated 4 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 3 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆80Updated 3 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- ☆33Updated 2 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- ☆25Updated last year
- General Invertible Transformations for Flow-based Generative Models☆18Updated 4 years ago
- ☆64Updated last year
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆24Updated 4 years ago
- Meta Optimal Transport☆104Updated 2 years ago
- ☆41Updated 2 years ago
- ☆54Updated last year
- Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"☆78Updated 5 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 6 years ago
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆46Updated 2 years ago
- ☆29Updated 3 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Updated 4 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- ☆37Updated 3 years ago
- PyTorch implementation of IRMAE https//arxiv.org/abs/2010.00679☆48Updated 3 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆62Updated 2 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆27Updated last year
- Official PyTorch implementation of Spatial Dependency Networks.☆35Updated 4 years ago