python language model experimentation
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Updated
Dec 20, 2017 - Python
python language model experimentation
Python3 Implementation of a Multi-Delay Coupled Reservoir, with a Demonstration on a NARMA10 Dataset.
Echo state network framework, NARMA10 dataset generator as an demonstration supplied.
A Liquid State Machine (LSM) with E-I balanced neurons
A simple Python implementation of EchoStateNetwork
Code for Reservoir computing (Echo state network)
Simulate and analyse complex microcircuits
Code based on the Reservoir Observers paper: https://aip.scitation.org/doi/10.1063/1.4979665
This repository gives two examples with reservoir observer and it is based on this paper: Reservoir observers: Model-free inference of unmeasured variables in chaotic systems The two dynamic systems chosen are Rössler and Lorenz.
A new version of world models using Echo-state networks and random weight-fixed CNNs
Python library for Reservoir Computing using Echo State Networks
Code for papers Optimal Reservoir Operations using Long Short-Term Memory Network and Bi-directional Storage Capacity and Elevation Level Calculator for Reservoir Operation Management
First adoption of the reservoir paradigm for microscopy image data processing, here: T cell segmentation in live-cell Calcium image series.
Using quantum reservoir to perform quantum tomography tasks.
Repo for EchoVPR: Echo State Networks for Visual Place Recognition
Software implementation of Pyramidal Reservoir Graph Neural Networks
A review of HAVOK and Reservoir computing for chaotic dynamics forecast
Multi-variate time series classification with a bi-directional ESN with a readout implemented as a deep neural network.
Dynamic State Network (DSN) Reservoir Computer
A review of HAVOK and reservoir computing for chaotic dynamics forecasting
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