ghliu / snoptLinks
Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight
☆52Updated 3 years ago
Alternatives and similar repositories for snopt
Users that are interested in snopt are comparing it to the libraries listed below
Sorting:
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 8 months ago
- Refining continuous-in-depth neural networks☆40Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆48Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated last year
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- [ICLR 2022] Path integral sampler☆46Updated last year
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆38Updated 2 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆53Updated 11 months ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆43Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- Convex potential flows☆83Updated 3 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 4 years ago
- Monotone operator equilibrium networks☆52Updated 5 years ago
- ☆101Updated 4 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 4 months ago
- ☆40Updated 2 years ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- ☆47Updated last year
- Nonparametric Differential Equation Modeling☆53Updated last year
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆77Updated 2 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- Riemannian Optimization Using JAX☆49Updated last year
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- Code for "Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory," NeurIPS, 2021.☆16Updated 3 years ago
- ☆34Updated 3 years ago
- Experiments for Neural Flows paper☆97Updated 3 years ago