lezcano / expm
Differentiable and numerically stable implementation of the matrix exponential
☆33Updated 4 years ago
Alternatives and similar repositories for expm:
Users that are interested in expm are comparing it to the libraries listed below
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆22Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- ☆80Updated 3 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Optimization with orthogonal constraints and on general manifolds☆128Updated 4 years ago
- Normalizing Flows using JAX☆83Updated last year
- ☆52Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 9 months ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 4 years ago
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Riemannian Optimization Using JAX☆48Updated last year
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆117Updated last year
- Pytorch implementation of the Power Spherical distribution☆74Updated 9 months ago
- Sequential Neural Likelihood☆40Updated 5 years ago
- ☆36Updated 3 years ago
- ☆46Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- A generic interface for linear algebra backends☆73Updated last month
- Documentation:☆119Updated last year
- ☆53Updated 9 months ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Updated 3 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Algorithms for computations on random manifolds made easier☆90Updated last year
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago