juntang-zhuang / torch_ACALinks
repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE
☆56Updated 4 years ago
Alternatives and similar repositories for torch_ACA
Users that are interested in torch_ACA 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
- Convex potential flows☆83Updated 3 years ago
- Regularized Neural ODEs (RNODE)☆84Updated 4 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- ☆47Updated last year
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- ☆103Updated 4 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆107Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- ☆68Updated 2 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆59Updated 10 months ago
- ☆63Updated last year
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Updated 2 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆56Updated last year
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 3 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆53Updated 3 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆20Updated last year
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆118Updated 4 years ago
- ☆30Updated 4 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 5 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year