Alternatives and similar repositories for handson_reservoir

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

• quantinfo / ng-rc-paper-code
  Code for the paper "Next Generation Reservoir Computing"
  ☆187Updated 2 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
• blindedjoy / RcTorch
  a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning
  ☆46Updated 2 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
• dfloryan / neural-manifold-dynamics
  Reduced-order modelling using an atlas of charts
  ☆27Updated 3 years ago
• aai-institute / continuiti
  Learning function operators with neural networks.
  ☆35Updated last year
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 3 years ago
• carnotresearch / cr-sparse
  Functional models and algorithms for sparse signal processing
  ☆96Updated 2 years ago
• andgoldschmidt / derivative
  Optimal numerical differentiation of noisy time series data in python.
  ☆66Updated 3 weeks ago
• PlasmaControl / PyRCN
  A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
  ☆93Updated last year
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆211Updated 4 months ago
• liuyao12 / ConvNets-PDE-perspective
  an Open Collaborative project to explore the implications — theoretical or practical — of the PDE perspective of ConvNets
  ☆22Updated 2 years ago
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆65Updated last year
• SciML / ReservoirComputing.jl
  Reservoir computing utilities for scientific machine learning (SciML)
  ☆221Updated last week
• mcmahon-lab / Physics-Aware-Training
  Instructional implementation of Physics-Aware Training (PAT) with demonstrations on simulated experiments.
  ☆307Updated last year
• srigas / jaxKAN
  Kolmogorov-Arnold Networks built on JAX
  ☆93Updated last week
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆71Updated last year
• mariodeflorio / AI-Lorenz
  ☆34Updated last year
• IBM / AI-Hilbert
  AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundam…
  ☆41Updated 3 months ago
• google-research / spherical-cnn
  ☆129Updated last year
• alirezag / matlab-esn
  A flexible and extensible echo state network framework for Matlab
  ☆20Updated 8 years ago
• hftsoi / symbolfit
  Automatic parametric modeling with symbolic regression
  ☆61Updated 5 months ago
• tum-pbs / PhiML
  Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
  ☆94Updated this week
• MartinuzziFrancesco / awesome-scientific-machine-learning
  A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
  ☆76Updated 2 years ago
• benmoseley / intro-to-jax-workshop
  Introduction to JAX Workshop @ ETH Zurich, 25 June 2024
  ☆39Updated 8 months ago
• jdppthk / parallelized-reservoir-computing
  This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the pa…
  ☆38Updated 5 years ago
• IBM / simulai
  A toolkit with data-driven pipelines for physics-informed machine learning.
  ☆191Updated 3 months ago
• reservoirpy / reservoirpy
  A simple and flexible code for Reservoir Computing architectures like Echo State Networks
  ☆598Updated last month
• DurstewitzLab / ChaosRNN
  ☆20Updated 2 years ago
• opannekoucke / pdenetgen
  Python package for NN generation from physics
  ☆15Updated 2 years ago