Refining continuous-in-depth neural networks
☆41Nov 14, 2021Updated 4 years ago
Alternatives and similar repositories for StatefulOdeNets
Users that are interested in StatefulOdeNets are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆57Mar 13, 2021Updated 5 years ago
- ☆11Apr 14, 2022Updated 4 years ago
- Official Implementation of "Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics" …☆25Sep 9, 2022Updated 4 years ago
- This repository contains code released by DiffEqML Research☆94Mar 9, 2022Updated 4 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆28Nov 14, 2025Updated 10 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code For Beyond Finite Layer Neural Network:Bridging Deep Architects and Numerical Differential Equations☆15Jun 4, 2019Updated 7 years ago
- ☆50Oct 28, 2023Updated 2 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆132Aug 27, 2024Updated 2 years ago
- On Robustness of Neural Ordinary Differential Equations☆11Oct 12, 2021Updated 4 years ago
- Layered distributions using FLAX/JAX☆10Dec 13, 2020Updated 5 years ago
- ☆10Dec 17, 2019Updated 6 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆61Sep 30, 2024Updated last year
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Mar 7, 2023Updated 3 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆125May 11, 2021Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆203Oct 23, 2023Updated 2 years ago
- Official implementation of the paper *PDE-Driven Spatiotemporal Disentanglement*☆29Mar 15, 2021Updated 5 years ago
- JAX implementation of Graph Attention Networks☆13Jan 29, 2022Updated 4 years ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆51Nov 24, 2023Updated 2 years ago
- PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs (WWW 2021)☆15Oct 10, 2022Updated 3 years ago
- ☆21Jul 12, 2018Updated 8 years ago
- Regularized Neural ODEs (RNODE)☆81Jul 16, 2021Updated 5 years ago
- ☆14Jun 18, 2021Updated 5 years ago
- Dynamic Mode Decomposition☆62Jul 28, 2017Updated 9 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆47Oct 23, 2022Updated 3 years ago
- Experiment with Neural ODE on Pytorch☆14Aug 9, 2019Updated 7 years ago
- Taylor moment expansion in Python (JaX and SymPy) and Matlab☆11Nov 26, 2024Updated last year
- Collection of resources that combine dynamic systems, control with deep learning.☆31Aug 24, 2026Updated 3 weeks ago
- PyTorch block-diagonal ODE CUDA solver, designed for gradient-based optimization☆16Apr 27, 2020Updated 6 years ago
- Re-implementation of 'Grokking: Generalization beyond overfitting on small algorithmic datasets'☆38Dec 4, 2021Updated 4 years ago
- ☆49Dec 15, 2020Updated 5 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆490Sep 4, 2025Updated last year
- Neural Graph Differential Equations (Neural GDEs)☆213Apr 15, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Continuous-time gradient flow for generative modeling and variational inference☆34Oct 6, 2018Updated 7 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆74May 1, 2023Updated 3 years ago
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Jan 19, 2022Updated 4 years ago
- Pytorch implementation of Augmented Neural ODEs☆560Feb 9, 2023Updated 3 years ago
- Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952☆36Oct 26, 2021Updated 4 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Nov 5, 2021Updated 4 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆21Sep 14, 2022Updated 4 years ago