nalp | ️ NALP is a library that covers Natural Adversarial | Natural Language Processing library

by gugarosa Python Version: 2.0.4 License: Apache-2.0

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | nalp Summary

nalp is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Tensorflow applications. nalp has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install nalp' or download it from GitHub, PyPI.

️ NALP is a library that covers Natural Adversarial Language Processing.

Support

Quality

Security

License

Reuse

Support

nalp has a low active ecosystem.

It has 18 star(s) with 6 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

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

It has a neutral sentiment in the developer community.

The latest version of nalp is 2.0.4

Quality

nalp has 0 bugs and 0 code smells.

Security

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

nalp code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nalp is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

nalp releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

It has 2502 lines of code, 229 functions and 84 files.

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

Top functions reviewed by kandi - BETA

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

Fit the model
Gradient step
Log message to file
The discriminator
Fits the GP gradient
Calculate the gradient of the gradient
Call the projector
Attention to memory
Run pre - fitting
Gradient function
Compile the model
Call gumbel distribution
Get a logger
Encodes a list of tokens
Decode a list of tokens
Compute the model
Compiles the model
Decode encoded tokens
Generates a sampling of tokens
Perform pre - fitting
Apply dot product attention
Build the kernel
Train the encoder
Encode a list of tokens
Fits the Gumbel - softmax model
Learn the encoder

Get all kandi verified functions for this library.

nalp Key Features

No Key Features are available at this moment for nalp.

nalp Examples and Code Snippets

NALP: Natural Adversarial Language Processing,Getting started: 60 seconds with NALP

Python

Lines of Code : 50

License : Strong Copyleft (GPL-3.0)

Copy

- nalp
    - core
        - corpus
        - dataset
        - encoder
        - model
    - corpus
        - audio
        - sentence
        - text
    - datasets
        - image
        - language_modeling
    - encoders
        - integer

NALP: Natural Adversarial Language Processing,Installation

Python

Lines of Code : 2

License : Strong Copyleft (GPL-3.0)

Copy

pip install nalp

pip install -e .

Extra space added on reverse string function

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

Copy

    x = end//2

    x = len(s)//2

Community Discussions

Trending Discussions on nalp

looping over all combinations in a tibble

QUESTION

looping over all combinations in a tibble

Asked 2021-Apr-28 at 11:44

I would like to create an index based on n for each combination of LZCODE(data below) and Bereich over 4 years and then rbind those indices in order to plot them later. As the example below shows, I can do that by hand. However that process is quite tedious and would take a lot of time. Hence, I am looking for a loop solution based on that code.

...

ANSWER

Answered 2021-Apr-28 at 11:44

Do you just want

Source https://stackoverflow.com/questions/67299100

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

Vulnerabilities

No vulnerabilities reported

Install nalp

We believe that everything has to be easy. Not tricky or daunting, NALP will be the one-to-go package that you will need, from the very first installation to the daily-tasks implementing needs. If you may just run the following under your most preferred Python environment (raw, conda, virtualenv, whatever)!:.

Support

We know that we do our best, but it is inevitable to acknowledge that we make mistakes. If you ever need to report a bug, report a problem, talk to us, please do so! We will be available at our bests at this repository or gustavo.rosa@unesp.br.

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