DiSAN | Code of Directional Self-Attention Network | Bot library

by taoshen58 Python Version: Current License: Apache-2.0

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

kandi X-RAY | DiSAN Summary

DiSAN is a Python library typically used in Automation, Bot, Deep Learning, Neural Network applications. DiSAN has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However DiSAN build file is not available. You can download it from GitHub.

Code of Directional Self-Attention Network (DiSAN)

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Quality

Security

License

Reuse

Support

DiSAN has a low active ecosystem.

It has 306 star(s) with 72 fork(s). There are 15 watchers for this library.

It had no major release in the last 6 months.

There are 11 open issues and 11 have been closed. On average issues are closed in 61 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DiSAN is current.

Quality

DiSAN has no bugs reported.

Security

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

License

DiSAN 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

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

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

Train the model
Calculate evaluation result
Analyse SST file
Filter the nn_data
Generate a batch of sample data
Perform normal attention
Apply softmax
Compute softsel
Bn layer convolution layer
Converts an activation name to a tensorflow function
Build token embedding
Combine features
Disassemble the given rep_tensor
Calculate logits
Main function for analysis
Run a single step
Concatenate a tensor
Apply softsel
Returns a list of word indices corresponding to char_start_idx
Softmax loss
Calculates the node index for the given node_and_leaf pair
Analyse sst
This function shifts the subtree from the given parent index
Load training data
Construct a stacking - directional self - attention
Transforms a str format tree into a tree
Updates tensorflow

Get all kandi verified functions for this library.

DiSAN Key Features

No Key Features are available at this moment for DiSAN.

DiSAN Examples and Code Snippets

No Code Snippets are available at this moment for DiSAN.

Community Discussions

Trending Discussions on DiSAN

Manually control axes tick mark labels in glm plot

QUESTION

Manually control axes tick mark labels in glm plot

Asked 2017-Oct-23 at 07:04

I am using levelplot() to plot a traitglm() output. The axes labels are automated. I would like to replace each tickmark label with a custom expression, i.e. 'woo' should be 'Wood' and 'XH' should be 'Grassland'.

Also, how can I reorder 'XH','XL''XO' to 'XO','XL','XH' in the plot?

I use this code for plotting:

...

ANSWER

Answered 2017-Oct-23 at 07:04

One possible approach is to make the changes to the matrix before passing it to levelplot().

Original:

Source https://stackoverflow.com/questions/46883174

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

Vulnerabilities

No vulnerabilities reported

Install DiSAN

You can download it from GitHub.
You can use DiSAN 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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