rajesh-lab / deep_permutation_invariantLinks
Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."
☆29Updated 2 years ago
Alternatives and similar repositories for deep_permutation_invariant
Users that are interested in deep_permutation_invariant are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆121Updated 2 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- Probabilistic Auto-Encoder☆43Updated 2 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆38Updated 10 months ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆22Updated last year
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 5 years ago
- CO-Optimal Transport☆42Updated 4 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- Random feature latent variable models in Python☆23Updated 2 years ago
- Contrastive neighbor embeddings☆55Updated last month
- ☆124Updated 2 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- Hyperbolic PCA via Horospherical Projections☆73Updated 2 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆23Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆44Updated 3 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- ☆37Updated 5 years ago
- A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'☆31Updated last year
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆55Updated last year
- ☆17Updated 2 years ago
- ☆17Updated 6 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆151Updated 3 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- ☆148Updated 3 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆47Updated 5 months ago