Attentive_reader | Simple Attentive Reader Code

by caglar Python Version: Current License: BSD-3-Clause

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

kandi X-RAY | Attentive_reader Summary

Attentive_reader is a Python library typically used in Institutions, Learning, Education applications. Attentive_reader has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Attentive_reader build file is not available. You can download it from GitHub.

Simple Attentive Reader Code

Support

Quality

Security

License

Reuse

Support

Attentive_reader has a low active ecosystem.

It has 31 star(s) with 19 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 1569 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Attentive_reader is current.

Quality

Attentive_reader has 0 bugs and 0 code smells.

Security

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

Attentive_reader code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Attentive_reader is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

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

Attentive_reader 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.

Attentive_reader saves you 2121 person hours of effort in developing the same functionality from scratch.

It has 4650 lines of code, 254 functions and 32 files.

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

Top functions reviewed by kandi - BETA

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

Calculate gradients
Calculate the norm of the norm of the covariance matrix
Calculate the log - likelihood
Helper function to grab probability from class probabilities
Generate weight matrix
Generate ortho weight matrix
Sample weights from an orthogonal distribution
Compute the dot product of a matrix
Helper function for shared_floatx
Create a shared shared array shared with the given value
Calculate the Adam algorithm
Compute the sgd
Convolution layer
LSTM layer
Layer layer
LSTM Tensor tensor
Calculate adadelta
Compute the functions for theano function
Get the gradients for theano function
Retrieve word counts from source files
Compute the log - likelihood
Calculate gradient functions
Get functions for theano function
Return the next result
Compute rmsprop

Get all kandi verified functions for this library.

Attentive_reader Key Features

No Key Features are available at this moment for Attentive_reader.

Attentive_reader Examples and Code Snippets

No Code Snippets are available at this moment for Attentive_reader.

Community Discussions

No Community Discussions are available at this moment for Attentive_reader.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Attentive_reader

You can download it from GitHub.
You can use Attentive_reader 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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