Alternatives and similar repositories for easyesn

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

• cknd / pyESN
  Echo State Networks in Python
  ☆313Updated 5 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…
  ☆487Updated last year
• stefanonardo / pytorch-esn
  An Echo State Network module for PyTorch.
  ☆233Updated 2 months ago
• lucapedrelli / DeepESN
  Deep Echo State Network (DeepESN) Python library
  ☆126Updated 8 months ago
• FilippoMB / Time-series-classification-and-clustering-with-Reservoir-Computing
  Implement Reservoir Computing models for time series classification, clustering, forecasting, and much more!
  ☆412Updated 9 months ago
• reservoirpy / reservoirpy
  A simple and flexible code for Reservoir Computing architectures like Echo State Networks
  ☆600Updated last month
• quantinfo / ng-rc-paper-code
  Code for the paper "Next Generation Reservoir Computing"
  ☆188Updated 3 weeks ago
• pvlachas / RNN-RC-Chaos
  RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…
  ☆97Updated 2 years ago
• PlasmaControl / PyRCN
  A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
  ☆93Updated last year
• blindedjoy / RcTorch
  a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning
  ☆46Updated 3 years ago
• jiahao42 / Reservoir
  Code for Reservoir computing (Echo state network)
  ☆61Updated 7 years ago
• manu-mannattil / nolitsa
  A Python module implementing some standard algorithms used in nonlinear time series analysis
  ☆191Updated last year
• williamgilpin / fnn
  Embed strange attractors using a regularizer for autoencoders
  ☆135Updated 4 years ago
• reservoirpy / awesome-reservoir-computing
  Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).
  ☆60Updated 4 years ago
• ciortanmadalina / EchoStateNetwork
  ☆26Updated 6 years ago
• gallicch / EulerStateNetworks
  ☆20Updated last year
• francesco-mannella / Echo-State-Networks
  Echo State Networks with TensorFlow
  ☆37Updated 5 years ago
• alexander-rakhlin / ESN
  Echo State Networks
  ☆43Updated 10 years ago
• Devrim-Celik / simple_echo_state_network
  Echo state network framework, NARMA10 dataset generator as an demonstration supplied.
  ☆20Updated 7 years ago
• CSchoel / nolds
  Nonlinear measures for dynamical systems (based on one-dimensional time series)
  ☆302Updated last month
• gallicch / DeepRC-TF
  ☆25Updated 4 years ago
• OverLordGoldDragon / see-rnn
  RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
  ☆181Updated last year
• IGITUGraz / LSM
  Liquid State Machines in Python and NEST
  ☆75Updated 5 years ago
• pvlachas / RNN-Lyapunov-Spectrum
  A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
  ☆46Updated last year
• m-colombo / Tensorflow-EchoStateNetwork
  Echo state network implementation on tensorflow
  ☆68Updated 6 years ago
• BruntonUWBio / STIMD
  ☆11Updated 7 years ago
• madvn / CTRNN
  Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)
  ☆44Updated 4 years ago
• nikdon / pyEntropy
  Entropy for Python
  ☆363Updated this week
• qu-gg / torch-neural-ssm
  Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
  ☆55Updated last year
• sylvchev / simple_esn
  simple Echo State Networks integrated with scikit-learn
  ☆27Updated 5 years ago