python language model experimentation

Criticality analysis on complex networks using Power-law scaling functions, exponential relations, and phase transitions

Reservoir Computing for Chaotic Time Series Prediction

Software implementation of Pyramidal Reservoir Graph Neural Networks

NARMA10 with DNN/RNN/RC

Dynamic State Network (DSN) Reservoir Computer

Official repository for the paper "Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings" (NeurIPS 2023)

Code based on the Reservoir Observers paper: https://aip.scitation.org/doi/10.1063/1.4979665

speed up the calculation of the output matrix

Using quantum reservoir to perform quantum tomography tasks.

turbESN is an echo state network implementation, used in my PhD research as part of the DeepTurb project of the Carl-Zeiss Stiftung. See https://pypi.org/project/turbESN/

A simple Python implementation of EchoStateNetwork

A review of HAVOK and reservoir computing for chaotic dynamics forecasting

Simple modular python package for physical reservoir computing. Use your own experimental data.

Simulate and analyse complex microcircuits

A new version of world models using Echo-state networks and random weight-fixed CNNs

First adoption of the reservoir paradigm for microscopy image data processing, here: T cell segmentation in live-cell Calcium image series.

Question Classification with Untrained Recurrent Embeddings

PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym

Repo for EchoVPR: Echo State Networks for Visual Place Recognition