132 skills found · Page 1 of 5
SciML / OrdinaryDiffEq.jlHigh performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
EmilienDupont / Augmented Neural OdesPytorch implementation of Augmented Neural ODEs :sunflower:
analysiscenter / PydensPyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
yang-song / Score FlowOfficial code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
cagatayyildiz / ODE2VAEODE2VAE: Deep generative second order ODEs with Bayesian neural networks
square-coder / STGODESpatial-Temporal Graph ODE Neural Network
Aalto-QuML / ClimODEClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs
DIAGNijmegen / Neural Odes SegmentationNeural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
amirgholami / Anode[IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
TrustAGI-Lab / MTGODE[TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
cfinlay / Ffjord RnodeRegularized Neural ODEs (RNODE)
crisbodnar / NdpOfficial code for the ICLR 2021 paper Neural ODE Processes
mkirchmeyer / DINoTime- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023
westny / Mtp GoCode for running the implementations proposed in: Westny, T., Oskarsson, J., Olofsson, B. and Frisk, E., "MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs", IEEE Transactions on Intelligent Vehicles
psh01087 / Vid ODEVid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
a-norcliffe / SonodeExperiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"
WelkinYang / WaveODEAn ODE-based generative neural vocoder using Rectified Flow
juntang-zhuang / Torch ACArepo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE
ghliu / SnoptSecond-Order Neural ODE Optimizer, NeurIPS 2021 spotlight
xxh0523 / Py PSNODEGeneral neural ODE and DAE modules for power system dynamic modeling.
