uncommoncode / morse_smale
Python tools for Morse Smale Complex analysis and visualization
☆10Updated 3 years ago
Alternatives and similar repositories for morse_smale:
Users that are interested in morse_smale are comparing it to the libraries listed below
- A library for computing topological data structures stemming from Morse Theory. Given a set of arbitrarily arranged points in any dimensi…☆21Updated 5 months 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
- Examples of more involved applications using Geomstats☆31Updated 3 years ago
- Auction Algorithm for Sparse Linear Assignment Problems☆11Updated 3 years ago
- CUDA extension for the SPORCO project☆18Updated 3 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
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 6 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- G. Peyré, L. Chizat, F-X. Vialard, J. Solomon, Quantum Optimal Transport for Tensor Field Processing, Arxiv, 2016☆10Updated 7 years ago
- Sample pytorch implementation of Covariant Compositional Networks☆13Updated 6 years ago
- my PhD thesis on Bayesian inference☆27Updated 11 years ago
- ☆29Updated 3 years ago
- A pytorch version of hamiltonian monte carlo☆13Updated 5 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 5 years ago
- Optimal Transport for Dummies - Code, slides and article☆32Updated 7 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Updated 10 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Differentiable Euler Characteristic Transform☆17Updated 7 months ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- A library to build up lazily evaluated expressions of linear transforms for efficient scientific computing.☆25Updated 10 months ago
- Dirichlet Process K-means☆47Updated 7 months ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 6 years ago
- Easing non-convex optimization with neural networks.☆22Updated 6 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 4 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 5 years ago
- Information geometry and its extension information topology☆10Updated 7 years ago