Introcution to neural ordinary diferential equations
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Updated
Jun 26, 2024 - Jupyter Notebook
Introcution to neural ordinary diferential 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"
A Julia package for training recurrent neural networks (RNNs), vanilla neural ordinary differential equations (nODEs) and gated neural ordinary differential equations (gnODEs).
Instantiate neural differential equations with ease
Sampling from the solution of the Zakai equation, using the Signature and Conditional Wasserstein GANs
FINDR: Flow-field Inference from Neural Data using deep Recurrent networks
A dynamical systems approach to adaptive patch foraging by using Neural Differential Equations.
Code for "Controlled Differential Equations on Long Sequences via Non-standard Wavelets" paper. ICML23
Generating Neural Spatial Interaction Tables
Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"
Repository for my master thesis at EPFL: "Neural controlled differential equations for crop classification"
Using DiffEqFlux to learn underlying differential equations from data.
Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"
Tutorials on math epidemiology and epidemiology informed deep learning methods
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.
A 30-minute showcase on the how and the why of neural differential equations.
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.
A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
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