rflamary / OTML_Statlearn2018
Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018
☆26Updated 7 years ago
Alternatives and similar repositories for OTML_Statlearn2018
Users that are interested in OTML_Statlearn2018 are comparing it to the libraries listed below
Sorting:
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆90Updated 6 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Python implementation of smooth optimal transport.☆58Updated 4 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 8 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆55Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 5 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆46Updated 3 weeks ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 8 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- ☆17Updated 6 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 7 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Learning generative models with Sinkhorn Loss☆28Updated 6 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- ☆26Updated 6 years ago
- #UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning☆12Updated 2 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- Stochastic Optimization for Optimal Transport☆22Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆73Updated 8 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 4 years ago