hichamjanati / spatio-temporal-alignementsLinks
Spatio-temporal alignements: Optimal transport in space and time
☆46Updated last month
Alternatives and similar repositories for spatio-temporal-alignements
Users that are interested in spatio-temporal-alignements are comparing it to the libraries listed below
Sorting:
- ☆51Updated 10 months ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆55Updated 6 years ago
- Python implementation of smooth optimal transport.☆58Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Examples of more involved applications using Geomstats☆32Updated 4 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- ☆17Updated 6 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆84Updated 4 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆19Updated 5 years ago
- CO-Optimal Transport☆42Updated 4 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- Train and visualise a latent variable model of moving objects.☆15Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago