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
Sorting:
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆22Updated 4 years ago
- Normalizing Flows using JAX☆83Updated 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 for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Optimization with orthogonal constraints and on general manifolds☆128Updated 4 years ago
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- ☆80Updated 3 years ago
- ☆52Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆118Updated last year
- Riemannian Optimization Using JAX☆49Updated last year
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Efficient Householder Transformation in PyTorch☆65Updated 3 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 4 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- Algorithms for computations on random manifolds made easier☆89Updated last year
- Composable kernels for scikit-learn implemented in JAX.☆43Updated 4 years ago
- A generic interface for linear algebra backends☆73Updated 2 months ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆21Updated 10 months ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 9 months ago
- ☆53Updated 9 months ago
- ☆36Updated 3 years ago
- ☆36Updated 2 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆26Updated 4 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago