GuiGen | paper Transformer-Based Neural Text Generation | Natural Language Processing library
kandi X-RAY | GuiGen Summary
kandi X-RAY | GuiGen Summary
GuiGen is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Bert, Neural Network, Transformer applications. GuiGen has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However GuiGen build file is not available. You can download it from GitHub.
This repo is associated with the paper Transformer-Based Neural Text Generation with Syntactic Guidance.
This repo is associated with the paper Transformer-Based Neural Text Generation with Syntactic Guidance.
Support
Quality
Security
License
Reuse
Support
GuiGen has a low active ecosystem.
It has 5 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
GuiGen has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of GuiGen is current.
Quality
GuiGen has no bugs reported.
Security
GuiGen has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
GuiGen 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
GuiGen releases are not available. You will need to build from source code and install.
GuiGen has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed GuiGen and discovered the below as its top functions. This is intended to give you an instant insight into GuiGen implemented functionality, and help decide if they suit your requirements.
- Performs the forward operation
- Generate key - pad mask for key query
- Get the prior mask
- Get the non - pad mask of the input sequence
- Inverse inference function
- Perform the forward computation
- Forward forward computation
- Update the score
- Read filenames from a file
- Get a list of indices for a given tree
- Tokenize a line
- Collate filenames
- Generate a mask for a tree path
- Prepare batch
- Compute the encoder
- Set random seed
- Generate a boolean mask for a tree path
- Forward the convolution layer
- Prune lexicographical tree by depth
- Get the list of paths to the tree
- Performs the encoder
- Performs forward computation
- Build the index of the vocab
- Perform a forward layer
- Prepare data loader
- Parse command line arguments
- Convert a list of instances to a list of indices
Get all kandi verified functions for this library.
GuiGen Key Features
No Key Features are available at this moment for GuiGen.
GuiGen Examples and Code Snippets
No Code Snippets are available at this moment for GuiGen.
Community Discussions
Trending Discussions on GuiGen
QUESTION
Reproduce Android Monkey Script
Asked 2019-Mar-20 at 08:08
I ran the Monkey tool (the tool to perform stress testing on Android application) and I got some script file that have this form:
...ANSWER
Answered 2018-Apr-19 at 21:11You will need adb
for the same. First you will create the file on your local
monkey.script
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install GuiGen
You can download it from GitHub.
You can use GuiGen 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.
You can use GuiGen 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 .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page