GitHub topics: neural-odes
IDSIA/neuraldiffeq-fwp
Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (NeurIPS 2022)
Language: Python - Size: 140 KB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 22 - Forks: 4
TrustAGI-Lab/MTGODE
[TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
Language: Python - Size: 114 KB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 81 - Forks: 27
yang-song/score_flow
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
Language: Python - Size: 65.4 KB - Last synced at: 17 days ago - Pushed at: over 3 years ago - Stars: 141 - Forks: 25
AbeelLab/jaxkineticmodel
Building, simulating, and training systems biology models using JAX/Diffrax
Language: Jupyter Notebook - Size: 29.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
FlorianKrach/PD-NJODE
This repo is the official implementation for the series of works on (Path-dependent) Neural Jump ODEs.
Language: Python - Size: 197 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 15 - Forks: 3
Weixy21/InvarianceNODE
On the forward invariance of Neural ODEs: performance guarantees for policy learning
Language: Python - Size: 2.94 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 9 - Forks: 2
erdc/pynirom
Python tools for non-intrusive reduced order modeling
Language: Python - Size: 10.2 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 14 - Forks: 7
coursekevin/arlatentsde
Accompanying code for the paper "Amortized reparametrization: efficient and scalable variational inference for latent SDEs
Language: Python - Size: 159 KB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0
migduroli/pineurodes
PINEURODEs is a repository collecting CMS group research work on the application of neural (stochastic/ordinary) differential equations and physically-informed neural networks to model complex multiscale systems.
Language: Python - Size: 30.1 MB - Last synced at: 29 days ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
jambo6/online-neural-cdes
Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
Language: Python - Size: 9.26 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 32 - Forks: 6
lorenzoliuzzo/NODE
Lagrangian and Hamiltonian Neural Ordinary Differential Equations (NODEs)
Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
mknbv/neuralode-rl
Neural Ordinary Differential Equations for Reinforcement Learning
Language: Python - Size: 365 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 19 - Forks: 3
r-gould/neural-odes
An implementation of Neural ODEs in PyTorch.
Language: Python - Size: 40 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
sandeshkatakam/NeuralODEs-for-BraTS
NeuralODEs for Brain Tumor Segmentation. Implementation of Neural ODE for Glioma Segmentation Paper on BraTS 2020 Dataset
Language: Jupyter Notebook - Size: 47.9 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
MaximeB3N/IntNeuralODE
Repository of my Master Thesis Project at TUM at the end of my Ecole Polytechnique's studies. It tackles the subject of "Continuous Motion Interpolation with Neural Differential Equations"
Language: Jupyter Notebook - Size: 171 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
