Adam James Sheppard's repositories
Echo-State-Networks-Nonlinear-Vector-Autoregression-and-Data-Assimilation-for-Chaotic-Systems
Stochastic Processes Comparison of Accuracy: Data Assimilation, Echo State Machines and Nonlinear Vector Autoregressive Learning Methods. ### Comparing discrete and variational data assimilation methods to reservoir computing - machine learning for synthetic chaotic nonlinear dynamical systems
A-step-towards-non-parametic-data-assimilation-FP-DA-
Fokker Planck based Data Assimilation method using Fourier Neural Operators as integrator
Data-Fusion
Some notes on data fusion and bayesian statistics for MVG distributions.
EchoStateNetwork
C++ implementation of an Echo State network
HierarchialESN---NVAR---4DVAR
Best performing algorithms from previous comparison
Lorenz-Atrractor-Revisited-C-
C++ implementation to generate large datasets. Dataset use: Reservoir Computer & Nonlinear Vector Autoregressive Model.
Lorenz-Attractor-
A scalable two-dimensional graphical representation of a Lorenz Attractor system.
Multivariate-Time-Series-Analysis
A multivariate time series analysis machine learning model for predicting the concentration of carbon monoxide levels in Madrid between 2001 and 2018
Network-Information-Flow-Dynamics
If this is implemented in python it shall be called NIFDy
RSA-Algorithm-Python-with-Brute-Force-attack
A naive implementation of the RSA algorithm with the aim to describe the maths behind the algorithm.