bernhard-schmitzer / MultiScaleOT
More user-friendly version of multi-scale algorithm library for optimal transport.
☆19Updated 3 weeks ago
Alternatives and similar repositories for MultiScaleOT:
Users that are interested in MultiScaleOT are comparing it to the libraries listed below
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆10Updated last year
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆42Updated last year
- L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.☆42Updated 8 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated 2 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆27Updated last year
- Differentiable interface to FEniCS for JAX☆53Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Semi-discrete optimal transport algorithms in Python.☆9Updated 2 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆28Updated last month
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆70Updated 10 months ago
- Optimal transport and generalizations☆62Updated 5 years ago
- Differentiation through cone programs☆98Updated last month
- Riemannian Optimization Using JAX☆48Updated last year
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 5 years ago
- ☆36Updated 3 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 4 years ago
- ☆16Updated 6 years ago
- ☆46Updated last year
- Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"☆43Updated 4 months ago
- Optimal Transport for Dummies - Code, slides and article☆32Updated 7 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
- ☆29Updated 2 years ago
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆55Updated 4 months ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆52Updated 3 years ago
- Discrete differential geometry on simplicial complexes☆25Updated 5 years ago
- Easy interoperability with Automatic Differentiation libraries through NumPy interface to Firedrake and FEniCS☆15Updated last year
- Methods and experiments for assumed density SDE approximations☆11Updated 3 years ago
- Website for the book "The Elements of Differentiable Programming".☆13Updated 6 months ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 4 years ago