Alternatives and similar repositories for pyESN

Users that are interested in pyESN are comparing it to the libraries listed below

• stefanonardo / pytorch-esn
  An Echo State Network module for PyTorch.
  ☆226Updated 2 years ago
• kalekiu / easyesn
  Python library for Reservoir Computing using Echo State Networks
  ☆137Updated 4 years ago
• nschaetti / EchoTorch
  A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module ava…
  ☆475Updated last year
• lucapedrelli / DeepESN
  Deep Echo State Network (DeepESN) Python library
  ☆123Updated 3 months ago
• FilippoMB / Time-series-classification-and-clustering-with-Reservoir-Computing
  Implement Reservoir Computing models for time series classification, clustering, forecasting, and much more!
  ☆390Updated 4 months ago
• jiahao42 / Reservoir
  Code for Reservoir computing (Echo state network)
  ☆60Updated 6 years ago
• alexander-rakhlin / ESN
  Echo State Networks
  ☆42Updated 9 years ago
• m-colombo / Tensorflow-EchoStateNetwork
  Echo state network implementation on tensorflow
  ☆70Updated 6 years ago
• PlasmaControl / PyRCN
  A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
  ☆92Updated last year
• reservoirpy / reservoirpy
  A simple and flexible code for Reservoir Computing architectures like Echo State Networks
  ☆558Updated last week
• francesco-mannella / Echo-State-Networks
  Echo State Networks with TensorFlow
  ☆37Updated 5 years ago
• ciortanmadalina / EchoStateNetwork
  ☆26Updated 6 years ago
• manu-mannattil / nolitsa
  A Python module implementing some standard algorithms used in nonlinear time series analysis
  ☆187Updated last year
• blindedjoy / RcTorch
  a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning
  ☆44Updated 2 years ago
• quantinfo / ng-rc-paper-code
  Code for the paper "Next Generation Reservoir Computing"
  ☆179Updated 3 years ago
• pvlachas / RNN-RC-Chaos
  RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…
  ☆95Updated 2 years ago
• mpstewart1 / EchoStateNetworks
  Materials related to the Medium article "Predicting Stock Prices with Echo State Networks".
  ☆51Updated 4 years ago
• sylvchev / simple_esn
  simple Echo State Networks integrated with scikit-learn
  ☆26Updated 5 years ago
• IGITUGraz / LSM
  Liquid State Machines in Python and NEST
  ☆72Updated 4 years ago
• kristpapadopoulos / seriesnet
  Time series prediction using dilated causal convolutional neural nets (temporal CNN)
  ☆238Updated 3 years ago
• williamgilpin / fnn
  Embed strange attractors using a regularizer for autoencoders
  ☆133Updated 4 years ago
• pvlachas / RNN-Lyapunov-Spectrum
  A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
  ☆45Updated last year
• reservoirpy / awesome-reservoir-computing
  Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).
  ☆54Updated 3 years ago
• nengo / keras-lmu
  Keras implementation of Legendre Memory Units
  ☆215Updated last month
• gallicch / EulerStateNetworks
  ☆17Updated last year
• nikdon / pyEntropy
  Entropy for Python
  ☆354Updated this week
• CSchoel / nolds
  Nonlinear measures for dynamical systems (based on one-dimensional time series)
  ☆287Updated last week
• OverLordGoldDragon / see-rnn
  RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
  ☆181Updated last year
• gallicch / DeepRC-TF
  ☆25Updated 4 years ago
• tejaslodaya / timeseries-clustering-vae
  Variational Recurrent Autoencoder for timeseries clustering in pytorch
  ☆487Updated 2 years ago