rc: Reservoir Computing, fast RNNs
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- rc-0.3.0.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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| Versions [RSS] | 0.1.0.0, 0.1.0.1, 0.3.0.0 |
|---|---|
| Change log | ChangeLog.md |
| Dependencies | base (>=4.7 && <5), dde (>=0.3.0), hmatrix (>=0.18.0.0), Learning (>=0.1.0), linear, random, rc, vector [details] |
| License | BSD-3-Clause |
| Copyright | Bogdan Penkovsky |
| Author | Bogdan Penkovsky |
| Maintainer | dev () penkovsky dot com |
| Category | Machine Learning |
| Home page | https://github.com/masterdezign/rc#readme |
| Bug tracker | https://github.com/masterdezign/rc/issues |
| Source repo | head: git clone https://github.com/masterdezign/rc |
| Uploaded | by penkovsky at 2018-07-08T14:15:38Z |
| Distributions | |
| Executables | ntc |
| Downloads | 1460 total (4 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
| Your Rating | |
| Status | Docs not available [build log] All reported builds failed as of 2018-07-08 [all 3 reports] |
Readme for rc-0.3.0.0
[back to package description]Reservoir Computing
Facilitating RC research
Features
- Nonlinear transient computing (NTC)
- Echo State Networks (ESNs) (upcoming)
Getting Started
Use Stack.
$ git clone https://github.com/masterdezign/rc.git && cd rc
$ stack build --install-ghc
Example 1. NTC, time series forecasting
$ stack exec ntc
Error: 3.1103181863915367e-3
Visualize the prediction results:
$ python3 examples/NTC/plot.py
Great!
Further reading
- Appeltant, L., et al. “Information Processing Using a Single Dynamical Node as Complex System.” Nature Communications, vol. 2, 2011, p. 468., doi:10.1038/ncomms1476.
- Larger, L., et al. “Photonic Information Processing beyond Turing: an Optoelectronic Implementation of Reservoir Computing.” Optics Express, vol. 20, no. 3, 2012, p. 3241., doi:10.1364/oe.20.003241.
- Rabinovič, Mihail Izrailevič, et al. Principles of Brain Dynamics: Global State Interactions. The MIT Press, 2012.
- Jaeger, H. “Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication.” Science, vol. 304, no. 5667, Feb. 2004, pp. 78–80., doi:10.1126/science.1091277.
- Bogdan Penkovsky. Theory and Modeling of Complex Nonlinear Delay Dynamics Applied to Neuromorphic Computing. Artificial Intelligence [cs.AI]. Université Bourgogne Franche-Comté, 2017. English. 〈tel-01591441v2〉