DiffEqML / diffeqml-researchLinks
This repository contains code released by DiffEqML Research
☆90Updated 3 years ago
Alternatives and similar repositories for diffeqml-research
Users that are interested in diffeqml-research are comparing it to the libraries listed below
Sorting:
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆59Updated 10 months ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- ☆110Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- ☆103Updated 4 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆129Updated last year
- ☆47Updated last year
- Convex potential flows☆83Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆74Updated 3 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆282Updated 3 years ago
- Regularized Neural ODEs (RNODE)☆84Updated 4 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆80Updated 4 months ago
- Nonparametric Differential Equation Modeling☆54Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆40Updated 2 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆53Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- Package for CGD and ACGD optimizers☆20Updated 3 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆20Updated last year
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 3 years ago
- ☆45Updated 4 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 5 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆118Updated 4 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆107Updated 4 years ago
- ☆21Updated 10 months ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆56Updated last year
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago