go-estimate alternatives and similar packages
Based on the "Science and Data Analysis" category.
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gonum
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gosl
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gonum/mat64
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TextRank
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sparse
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triangolatte
2D triangulation library. Allows translating lines and polygons (both based on points) to the language of GPUs. -
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PiHex
PiHex Library, written in Go, generates a hexadecimal number sequence in the number Pi in the range from 0 to 10,000,000. -
GoStats
GoStats is a go library for math statistics mostly used in ML domains, it covers most of the statistical measures functions. -
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mudlark-go
DISCONTINUED. A collection of packages providing (hopefully) useful code for use in software using Google's Go programming language.
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README
go-estimate: State estimation and filtering algorithms in Go
This package offers a small suite of basic filtering algorithms written in Go. It currently provides the implementations of the following filters and estimators:
- Bootstrap Filter also known as SIR Particle filter
- Unscented Kalman Filter also known as Sigma-point filter
- Extended Kalman Filter also known as Non-linear Kalman Filter
- Kalman Filter also known as Linear Kalman Filter
In addition it provides an implementation of Rauch–Tung–Striebel smoothing for Kalman filter, which is an optimal Gaussian smoothing algorithm. There are variants for both LKF (Linear Kalman Filter) and EKF (Extended Kalman Filter) implemented in the smooth package. UKF smoothing will be implemented in the future.
Get started
Get the package:
$ go get github.com/milosgajdos/go-estimate
Get dependencies:
$ make dep
Run unit tests:
$ make test
You can find various examples of usage in go-estimate-examples.
TODO
- [ ] Square Root filter
- [ ] Information Filter
- [x] Smoothing
- Rauch–Tung–Striebel for both KF and EKF has been implemented in
smoothpackage
- Rauch–Tung–Striebel for both KF and EKF has been implemented in
Contributing
YES PLEASE!
*Note that all licence references and agreements mentioned in the go-estimate README section above
are relevant to that project's source code only.