reservoir-computing
There are 97 repositories under reservoir-computing topic.
nschaetti/EchoTorch
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
reservoirpy/reservoirpy
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
FilippoMB/Time-series-classification-and-clustering-with-Reservoir-Computing
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
cknd/pyESN
Echo State Networks in Python
stefanonardo/pytorch-esn
An Echo State Network module for PyTorch.
SciML/ReservoirComputing.jl
Reservoir computing utilities for scientific machine learning (SciML)
kalekiu/easyesn
Python library for Reservoir Computing using Echo State Networks
PlasmaControl/PyRCN
A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
pvlachas/RNN-RC-Chaos
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
FilippoMB/python-time-series-handbook
Material for the course "Time series analysis with Python"
jiahao42/Reservoir
Code for Reservoir computing (Echo state network)
blindedjoy/RcTorch
a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning
reservoirpy/awesome-reservoir-computing
Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).
Saran-nns/sorn
PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym
fabridamicelli/echoes
Machine Learning with Echo State Networks, a scikit-learn compatible package.
FilippoMB/Bidirectional-Deep-readout-Echo-State-Network
Multi-variate time series classification with a bi-directional ESN with a readout implemented as a deep neural network.
okozelsk/NET
Reservoir computing library for .NET. Enables ESN , LSM and hybrid RNNs using analog and spiking neurons working together.
SocratesNFR/EvoDynamic
EvoDynamic seeks to evolve and develop suitable discrete dynamic models of self-organizing systems based on local interactions.
stevenabreu7/handson_reservoir
Repository for paper "Hands-on reservoir computing" (NCE, 2022)
Devrim-Celik/simple_echo_state_network
Echo state network framework, NARMA10 dataset generator as an demonstration supplied.
danieleds/TorchRC
An organized collection of Reservoir Computing models and techniques that is well-integrated within the PyTorch API.
GTANAKA-LAB/Memristor-Network-Reservoir
Memristor-Network-Reservoir: MATLAB codes for simulating memristor networks and performing reservoir computation.
Zheng-Meng/Tracking-Control
Published in Nature Communications: Model-free tracking control of complex dynamical trajectories with machine learning.
andrekovac/reservoir-persistent-memory
Simulation code of the paper "Persistent Memory in Single Node Delay-Coupled Reservoir Computing"
Anurag14/Inflow-Prediction-Bhakra
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
ahaeusser/echos
Echo State Networks for Time Series Forecasting
Devrim-Celik/multi_delay-coupled_reservoir
Python3 Implementation of a Multi-Delay Coupled Reservoir, with a Demonstration on a NARMA10 Dataset.
FilippoMB/Pyramidal-Reservoir-Graph-Neural-Networks
Software implementation of Pyramidal Reservoir Graph Neural Networks
nikhil-garg/EMG_exp
This is the code for the paper Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition
baronefr/rhavok-analysis
A review of HAVOK and Reservoir computing for chaotic dynamics forecast
LumenPallidium/backprop-alts
This repository has implementations of various alternatives to backpropagation for training neural networks.
Zheng-Meng/Reservoir-Computing-and-Hyperparameter-Optimization
Reservoir computing for short-and long-term prediction of chaotic systems, with tasks Lorenz and Mackey-Glass systems. Bayesian optimization (hyperparameter optimization algorithm) is used to tune the hyperparameters and improve the performance.
Arcomano1234/SPEEDY-ML
Fortran code that combines the atmospheric general circulation model (AGCM) SPEEDY with a reservoir computing-based machine learning algorithm for weather prediction and climate simulations.
FabioMurgese/computational-neuroscience
Computational Neuroscience projects.
MaterialMan/CHARC
Source code for the CHAracterisation of Reservoir Computers (CHARC) framework
wangsc1912/rc_pndi
[Nature Communication 2023] "Wearable in-sensor reservoir computing using optoelectronic polymers with through-space charge-transport characteristics for multi-task learning"