virtual-assistant-tutorial | Basic Virtual Assistant is the accompanying Github

by Skuldur Python Version: Current License: MIT

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

kandi X-RAY | virtual-assistant-tutorial Summary

virtual-assistant-tutorial is a Python library. virtual-assistant-tutorial has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Basic Virtual Assistant is the accompanying Github repository for my blog series "Making Your Own Alexa". The code in this repository can be used as a basis for a virtual assistant project.

Support

Quality

Security

License

Reuse

Support

virtual-assistant-tutorial has a low active ecosystem.

It has 3 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

virtual-assistant-tutorial has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of virtual-assistant-tutorial is current.

Quality

virtual-assistant-tutorial has 0 bugs and 0 code smells.

Security

virtual-assistant-tutorial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

virtual-assistant-tutorial code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

virtual-assistant-tutorial is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

virtual-assistant-tutorial releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

It has 615 lines of code, 62 functions and 7 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Predict the given command
Transform features into features
Predict value for input
Load a vocabulary
Wrapper for CRF
Returns the marginal probability of X
Adds boundary energy to the boundary
Perform the recursion
Return the loss function
R Return the log - normalization of the input energy
Compute the total energy of the chain
R Compute the negative log likelihood
Runs training
Save the vocab to disk
Adds a word to the vocabulary
Save examples and labels
Returns a function that returns the marginal probability of the function
Compute the accuracy
Return a function that returns the accuracy of the prediction

Get all kandi verified functions for this library.

virtual-assistant-tutorial Key Features

No Key Features are available at this moment for virtual-assistant-tutorial.

virtual-assistant-tutorial Examples and Code Snippets

No Code Snippets are available at this moment for virtual-assistant-tutorial.

Community Discussions

No Community Discussions are available at this moment for virtual-assistant-tutorial.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install virtual-assistant-tutorial

NLTK will require you to download a data for its tokenizer so open Python in your terminal and run the following code.

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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