mlsanityData to 14 Oct 2026

ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models

arXiv 2204.05117 ↗First posted 8 Apr 2022cs.CE cs.AIcited by 8

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Abstract (arXiv)

We introduce ReservoirComputing.jl, an open source Julia library for reservoir computing models. The software offers a great number of algorithms presented in the literature, and allows to expand on them with both internal and external tools in a simple way. The implementation is highly modular, fast and comes with a comprehensive documentation, which includes reproduced experiments from literature. The code and documentation are hosted on Github under an MIT license https://github.com/SciML/ReservoirComputing.jl.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 7 of its 36 references that are in the map. First posted on arXiv 8 Apr 2022.

Builds on

7 of 36 references.

References · 7

  1. 2018Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Modelcited by 57
  2. 2021Reservoir Computing as a Tool for Climate Predictability Studiescited by 13
  3. 2014Reservoir Computing using Cellular Automatacited by 8
  4. 2020Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networkscited by 7
  5. 2018GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Languagecited by 5
  6. 2017Deep Reservoir Computing Using Cellular Automatacited by 4
  7. 2020Flexible model composition in machine learning and its implementation in MLJcited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 2; 2025: 2; 2026: 3.

8 papers.

  1. 2023A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learningcited by 22
  2. 2024Earth System Data Cubes: Avenues for advancing Earth system researchcited by 3
  3. 2025Minimal Deterministic Echo State Networks Outperform Random Reservoirs in Learning Chaotic Dynamicscited by 2
  4. 2024Circuit design in biology and machine learning. I. Random networks and dimensional reductioncited by 1
  5. 2026OpenReservoirComputing: GPU-Accelerated Reservoir Computing in JAXcited by 1
  6. 2025Unified Implementations of Recurrent Neural Networks in Multiple Deep Learning Frameworkscited by 0
  7. 2026Storage and selection of multiple chaotic attractors in minimal reservoir computerscited by 0
  8. 2026Phase space integrity in neural network models of Hamiltonian dynamics: A Lagrangian descriptor approachcited by 0