patrick-kidger / FasterNeuralDiffEqLinks
Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
☆88Updated 2 years ago
Alternatives and similar repositories for FasterNeuralDiffEq
Users that are interested in FasterNeuralDiffEq are comparing it to the libraries listed below
Sorting:
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆120Updated 2 years ago
- Convex potential flows☆84Updated 3 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- ☆48Updated last year
- ☆103Updated 4 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Regularized Neural ODEs (RNODE)☆85Updated 4 years ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆55Updated last year
- ☆68Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 4 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆55Updated 3 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆76Updated last year
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 5 years ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆43Updated last year
- Normalizing Flows using JAX☆84Updated last year
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- ☆64Updated last year
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆60Updated 11 months ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper☆13Updated 5 years ago