lezcano / expm
Differentiable and numerically stable implementation of the matrix exponential
☆32Updated 4 years ago
Alternatives and similar repositories for expm:
Users that are interested in expm are comparing it to the libraries listed below
- ☆22Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated last year
- Optimization with orthogonal constraints and on general manifolds☆126Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆72Updated 6 months ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆115Updated last year
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆100Updated this week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆99Updated last year
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 6 months ago
- Riemannian Optimization Using JAX☆48Updated last year
- Normalizing Flows using JAX☆82Updated last year
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Algorithms for computations on random manifolds made easier☆87Updated last year
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Experiment code for "Randomized Automatic Differentiation"☆66Updated 4 years ago
- A generic interface for linear algebra backends☆71Updated 7 months ago
- Normalizing Flows in Jax☆106Updated 4 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 4 years ago
- Matrix-free linear algebra in JAX.☆113Updated 3 weeks ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆38Updated 4 years ago
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- ☆45Updated last year
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Updated 3 years ago
- ☆53Updated 6 months ago
- Convex potential flows☆82Updated 3 years ago
- ☆80Updated 3 years ago
- ☆36Updated 3 years ago
- Learning the optimal transport map via input convex neural neworks☆40Updated 4 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆44Updated last year