Instantiate neural differential equations with ease

A Julia package for training recurrent neural networks (RNNs), vanilla neural ordinary differential equations (nODEs) and gated neural ordinary differential equations (gnODEs).

Code for "Joint Modeling of Quasar Variability and Accretion Disk Reprocessing using Latent Stochastic Differential Equation"

A dynamical systems approach to adaptive patch foraging by using Neural Differential Equations.

Understanding the idea, intuition and implementation of Neural Differential Equations. Clearly explained and fully commented.

Codes for paper "Estimating time-varying reproduction number by deep learning techniques"

FINDR: Flow-field Inference from Neural Data using deep Recurrent networks

Using DiffEqFlux to learn underlying differential equations from data.

Code for "Controlled Differential Equations on Long Sequences via Non-standard Wavelets" paper. ICML23

Tutorials on math epidemiology and epidemiology informed deep learning methods

Repository for my master thesis at EPFL: "Neural controlled differential equations for crop classification"

Sampling from the solution of the Zakai equation, using the Signature and Conditional Wasserstein GANs

Generating Neural Spatial Interaction Tables

Introcution to neural ordinary diferential equations

Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"

Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"

A 30-minute showcase on the how and the why of neural differential equations.

Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (NeurIPS 2022)

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.