Popularity
4.2
Declining
Activity
0.0
Stable
7
3
1
Monthly Downloads: 1
Programming language: Haskell
License: BSD 3-clause "New" or "Revised" License
Tags:
Machine Learning
Latest version: v0.1.0.1
rc alternatives and similar packages
Based on the "Machine Learning" category.
Alternatively, view rc alternatives based on common mentions on social networks and blogs.
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fastbayes
A Haskell library for Bayesian modeling algorithms that are fast(er than general-purpose sampling). -
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multilinear-io
Input/output capability in various formats (binary, CSV, JSON) for Multilinear package in Haskell.
InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
Promo
www.influxdata.com
Do you think we are missing an alternative of rc or a related project?
README
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〉