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Search results for jupyter notebook dynamical systems
dynamical-systems
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jupyter-notebook
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19 search results found
Torchdyn
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1,187
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Gde
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100
Neural Graph Differential Equations (Neural GDEs)
Pygpc
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62
A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
Diffeqml Research
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48
This repository contains code released by DiffEqML Research
Rigidbodysim.jl
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41
Simulation and visualization of articulated rigid body systems in Julia
Datadrivendynsyst
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40
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
Lfads Torch
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34
A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
Egtplot
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22
egtplot: A python package for 3-Strategy Evolutionary Games
Control Theory Course
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20
Lecture notes and exercises for control theory course
Variational_gradient_matching_for_dynamical_systems
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18
Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
Mcopt
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13
McOpt is an algorithm that can efficiently solve multicommodity routing problems on networks
Reflexer Digital Twin
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10
Toolkit based on cadCAD for performing automated routine tests and future predictions for a GEB deployment
Pseudo Hamiltonian Neural Networks
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10
The package phlearn for modelling pseudo-Hamiltonian systems by pseudo-Hamiltonian neural networks (PHNN), for ODEs and PDEs
Timeseries Rnn
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9
Time-series forecasting with 1D Conv model, RNN (LSTM) model and Transformer model. Comparison of long-term and short-term forecasts using synthetic timeseries. Sequence-to-sequence formulation.
Egsis
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8
EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation
Eeg Chaos Kuramoto Neural Net
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8
EEG prediction using Chaos Theory, Dynamical Systems Theory, and neural networks
Episimulator
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6
EpiSimulator: A Data-Driven Stochastic Hybrid Model for COVID-19 in Italy.
N Stark
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6
N-STARK is an algorithm that can efficiently solve routing problems with time-dependent loads on networks
Brot
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5
BROT is a self-adaptation algorithm that trade offs traffic mitigation and shortest path length on transportation networks
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1-19 of 19 search results
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