Official code for "Neural Differential Recurrent Neural Networks with Adaptive Time Steps"

InTaSet: a comprehensive benchmark dataset for nonlinear system identification and sensor-fault detection based on real-time measurements from a physical interconnected quadruple-tank testbed, operating in both open-loop and closed-loop configurations

A brief study conducted as a part of major "Applied mathematics and computer science" at the HSE University.

FINAL BOSS: A Holo-Neural hybrid control stack for real-time quantum error correction. Combines FPGA-based Hyperdimensional Computing (HDC) for nanosecond decoding with Neural ODEs for continuous drift prediction. [Patent Pending U.S. App. 63/940,641]

Using Neural ODEs to fit a networked UIV model to an SIR model of an epidemic.

A continuous depth language model framework in Julia, implementing Neural ODE Transformers, custom continuous attention integrators, reversible depth architectures, adjoint-based training, and efficient KV-cached inference.

Neural Ordinary Differential Equations

torchdiffeq_metal

AI-Based Modeling for Energy-Efficient Buildings

First two problems of my Master's Thesis on Coarse-Graining of Molecular Dynamics with Neural Ordinary Differential Equations

Autoencoder Neural ODEs with stiffness reduction for surrogate modeling of stiff time series data

Thesis Assignment of Gabriele Ruscelli

Putting [A]NODEs ([Augmented] Neural ODEs) to work, for Time Series prediction and simulation

A direct collocation approach for more effective training of Neural ODEs

neural ordinary differential equations for undergraduate students

Parallel-in-time integration of Neural ODEs with reduced basis approximation

pharmacokinetic modeling using Neural ODEs, supporting Monolix-style datasets with covariates

The official repo for [Generative Video Bi-flow, ICCV 2025]

Approximately Bayesian Ensembling for Parameterized Neural ODEs.

I created a Graph Neural Ordinary Differential Equation (GNODE) for modeling Newtonian gravity.