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23 search results found

Torchsde ⭐ 1,357

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Torchdyn ⭐ 1,187

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

Awesome Neural Ode ⭐ 1,145

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

Diffrax ⭐ 1,131

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Neuromancer ⭐ 621

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

Torchcde ⭐ 361

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

Neuralcde ⭐ 352

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

Easy Neural Ode ⭐ 186

Code for the paper "Learning Differential Equations that are Easy to Solve"

Awesome Nn Optimization ⭐ 65

Awesome list for Neural Network Optimization methods.

Fasterneuraldiffeq ⭐ 52

Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)

Neurallaplace ⭐ 48

Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.

Diffeqml Research ⭐ 48

This repository contains code released by DiffEqML Research

Dlkoopman ⭐ 42

A general-purpose Python package for Koopman theory using deep learning.

Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)

Lfads Torch ⭐ 34

A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

Deep_learning_for_dynamical_systems ⭐ 31

Autokoopman ⭐ 27

AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.

Deep Early Warnings Pnas ⭐ 23

Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)

Official code for Long Expressive Memory (ICLR 2022, Spotlight)

Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets. https://agosztolai.github.io/MARBLE/

Autolfads Tf2 ⭐ 16

A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.

Awesome Latent Control ⭐ 5

A collection of resources regarding the interplay between control, causality, latent structure and self-supervision.

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1-23 of 23 search results

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