juho-lee / set_transformerLinks
Pytorch implementation of set transformer
☆643Updated 5 years ago
Alternatives and similar repositories for set_transformer
Users that are interested in set_transformer are comparing it to the libraries listed below
Sorting:
- ☆308Updated 2 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆380Updated 5 years ago
- Geometric loss functions between point clouds, images and volumes☆669Updated 8 months ago
- Experiments for understanding disentanglement in VAE latent representations☆837Updated 2 years ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆1,019Updated 4 months ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆835Updated 4 years ago
- Gaussian mixture models in PyTorch.☆584Updated 2 years ago
- PyTorch Extension Library of Optimized Graph Cluster Algorithms☆904Updated 4 months ago
- [NeurIPS'19] Deep Equilibrium Models☆784Updated 3 years ago
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆347Updated 4 years ago
- Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019☆478Updated 2 years ago
- Approximating Wasserstein distances with PyTorch☆460Updated 2 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆129Updated 2 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆387Updated 4 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆240Updated 7 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆351Updated 5 years ago
- PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations☆1,093Updated 4 months ago
- Minimalist implementation of VQ-VAE in Pytorch☆556Updated 4 years ago
- PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution☆214Updated 7 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆426Updated 3 years ago
- PyTorch code to run synthetic experiments.☆431Updated 4 years ago
- Pytorch implementation of Neural Processes for functions and images☆234Updated 3 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆351Updated 3 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆662Updated 5 years ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Mutual Information Neural Estimation in Pytorch☆346Updated last year
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆449Updated 7 years ago
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆807Updated 6 years ago
- Disentanglement library for PyTorch☆283Updated 3 years ago
- Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2…☆459Updated 3 years ago