liruilong940607 / NeuralODE
The simplest pytorch implement (100 lines) of "Neural Ordinary Differential Equations" @ NeurIPS 2018 Best Paper.
☆76Updated 4 years ago
Alternatives and similar repositories for NeuralODE:
Users that are interested in NeuralODE are comparing it to the libraries listed below
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆117Updated last year
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 6 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- ☆101Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 8 months ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆52Updated 3 years ago
- Backpropagation-Friendly-Eigendecomposition☆72Updated 5 years ago
- ☆46Updated last year
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆70Updated 2 years ago
- ☆122Updated 2 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆54Updated 4 years ago
- Implement efficient jacobian method available for most pytorch networks☆44Updated 4 years ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆74Updated 8 months ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆52Updated 2 years ago
- Experiments for Neural Flows paper☆94Updated 3 years ago
- Convex potential flows☆83Updated 3 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- Meta Optimal Transport☆102Updated last year
- Optimization with orthogonal constraints and on general manifolds☆128Updated 4 years ago
- PyTorch implementation of the Hessian-free optimizer☆34Updated 9 months ago
- ☆16Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆72Updated last year
- ☆68Updated 2 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆59Updated 2 years ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 4 years ago
- ☆267Updated last year
- ☆56Updated 2 years ago