Repository for my master thesis at EPFL: "Neural controlled differential equations for crop classification"
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Updated
Oct 5, 2021 - Python
Repository for my master thesis at EPFL: "Neural controlled differential equations for crop classification"
Code for the paper "Learning Differential Equations that are Easy to Solve"
Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (NeurIPS 2022)
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
Sampling from the solution of the Zakai equation, using the Signature and Conditional Wasserstein GANs
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
Instantiate neural differential equations with ease
Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Generating Neural Spatial Interaction Tables
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
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