viterbi | Decoding of convolutional codes using the Viterbi algorithm

by knaperek Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | viterbi Summary

viterbi is a Python library. viterbi has no bugs, it has no vulnerabilities and it has low support. However viterbi build file is not available. You can download it from GitHub.

Decoding of convolutional codes using the Viterbi algorithm.

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Quality

Security

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Support

viterbi has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

viterbi has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of viterbi is current.

Quality

viterbi has 0 bugs and 0 code smells.

Security

viterbi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

viterbi code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

viterbi does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

viterbi releases are not available. You will need to build from source code and install.

viterbi has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed viterbi and discovered the below as its top functions. This is intended to give you an instant insight into viterbi implemented functionality, and help decide if they suit your requirements.

Decode the parity sequence
Compute hamming distance
Extract a parity sequence
Compute the parity of a set of polynomials
Return the parity of a number
Encode a binary quadratic sequence
Generate the parity of each bit

Get all kandi verified functions for this library.

viterbi Key Features

No Key Features are available at this moment for viterbi.

viterbi Examples and Code Snippets

No Code Snippets are available at this moment for viterbi.

Community Discussions

Trending Discussions on viterbi

generating a Markov chain simulation using a transition matrix of specific size and with a given seed, using the mchmm library

How to split Hmm databse (Pfam-A.hmm) into individual files?

Why does Viterbi algorithm (POS tagging) always predict one tag?

How to plot a line plot over sns.heatmap over the center of tick labels

Pytorch with CUDA throws RuntimeError when using pack_padded_sequence

QUESTION

generating a Markov chain simulation using a transition matrix of specific size and with a given seed, using the mchmm library

Asked 2022-Feb-23 at 20:48

I am trying to generate a Markov simulation using a specific sequence as start, using the mchmm library coded with scipy and numpy. I am not sure if I am using it correctly, since the library also has Viterbi and Baum-Welch algorithms in the context of Markov, which I am not familiar with.

To illustrate, I will continue with an example.

...

ANSWER

Answered 2022-Feb-23 at 20:48

The states in the MarkovChain instance a are 'A', 'B' and 'C'. When the simulate method is given a string for state, it expects it to be the name of one of the states, i.e. either 'A', 'B' or 'C'. You get that error because data[-3:] is not one of the states.

For example, in the following I use start='A' in the call of simulate(), and it generates a sequence of 10 states, starting at 'A':

Source https://stackoverflow.com/questions/71239580

QUESTION

How to split Hmm databse (Pfam-A.hmm) into individual files?

Asked 2022-Jan-20 at 16:57

I have downloaded the Pfam database, but in order to proceed with my work I would need to split it into different individual files. I tried to do it with the command hmmfetch:

...

ANSWER

Answered 2022-Jan-20 at 16:40

A basic solution using GNU/BSD awk:

Source https://stackoverflow.com/questions/70789571

QUESTION

Why does Viterbi algorithm (POS tagging) always predict one tag?

Asked 2021-Nov-02 at 09:15

Here is my HMM model class:

...

ANSWER

Answered 2021-Nov-02 at 09:15

Probability should look like that:

Source https://stackoverflow.com/questions/69806385

QUESTION

How to plot a line plot over sns.heatmap over the center of tick labels

Asked 2021-Sep-28 at 10:22

Currently, I am trying to plot the viterbi path over all state probabilities. Basically, it is a line plot over a Seaborn heatmap I am using the following code

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ANSWER

Answered 2021-Sep-28 at 10:22

Seaborn draws the ticks at the half positions (0.5, 1.5, ...). You can add a half to have the lines at the centers in the y-direction.

Source https://stackoverflow.com/questions/69358832

QUESTION

Pytorch with CUDA throws RuntimeError when using pack_padded_sequence

Asked 2021-Jun-22 at 15:58

I am trying to train a BiLSTM-CRF on detecting new NER entities with Pytorch. To do so, I am using a snippet of code derivated from the Pytorch Advanced tutorial. This snippet implements batch training.

I followed the READ-ME in order to present data as required. Everything works great on CPU, but when I'm trying to get it to GPU, the following error occur :

...

ANSWER

Answered 2021-Jun-22 at 15:58

Within PadSequence function (which acts as a collate_fn which gathers samples and makes a batch from them) you are explicitly casting to cuda device, namely:

Source https://stackoverflow.com/questions/68086528

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install viterbi

You can download it from GitHub.
You can use viterbi like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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