gpeyre / 2017-EJAM-quantum-ot
G. Peyré, L. Chizat, F-X. Vialard, J. Solomon, Quantum Optimal Transport for Tensor Field Processing, Arxiv, 2016
☆10Updated 7 years ago
Alternatives and similar repositories for 2017-EJAM-quantum-ot:
Users that are interested in 2017-EJAM-quantum-ot are comparing it to the libraries listed below
- Optimal Transport for Dummies - Code, slides and article☆32Updated 7 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 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
- Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" …☆25Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Learning generative models with Sinkhorn Loss☆28Updated 6 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- ☆13Updated 6 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆73Updated 8 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 6 years ago
- A curated list of reading material and lecture notes for all things geometry. Mostly focussed on differential and Riemannian geometry wit…☆18Updated 7 years ago
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆18Updated 6 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆10Updated 7 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆24Updated 4 years ago
- LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms☆10Updated 3 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38Updated 5 years ago
- ☆11Updated 3 years ago
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- ☆29Updated 3 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- CUDA extension for the SPORCO project☆18Updated 3 years ago
- LaTeX source code for the slides☆23Updated 3 years ago
- Easing non-convex optimization with neural networks.☆22Updated 6 years ago
- Deep convolutional gaussian processes.☆78Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 5 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…☆12Updated 5 years ago
- Python tools for Morse Smale Complex analysis and visualization☆10Updated 3 years ago