liruilong940607 / NeuralODELinks
The simplest pytorch implement (100 lines) of "Neural Ordinary Differential Equations" @ NeurIPS 2018 Best Paper.
☆77Updated 4 years ago
Alternatives and similar repositories for NeuralODE
Users that are interested in NeuralODE are comparing it to the libraries listed below
Sorting:
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 8 months ago
- ☆101Updated 4 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆52Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆118Updated last year
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆52Updated 10 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- ☆46Updated last year
- Convex potential flows☆83Updated 3 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆70Updated 2 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- Experiments for Neural Flows paper☆95Updated 3 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆55Updated 4 years ago
- ☆122Updated 2 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆53Updated 2 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆59Updated 3 years ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- ☆68Updated 2 years ago
- Implicit^2: Implicit model for implicit neural representations☆28Updated 3 years ago
- Backpropagation-Friendly-Eigendecomposition☆72Updated 5 years ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆72Updated last year
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆77Updated 11 months ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆41Updated 2 years ago
- Monotone operator equilibrium networks☆52Updated 4 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆128Updated 9 months ago
- Implement efficient jacobian method available for most pytorch networks☆43Updated 4 years ago
- ☆30Updated 4 years ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 4 years ago
- Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch☆92Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago