hhu-dl-materials-2019

by kawu Python Version: Current License: No License

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

kandi X-RAY | hhu-dl-materials-2019 Summary

hhu-dl-materials-2019 is a Python library. hhu-dl-materials-2019 has no bugs, it has no vulnerabilities and it has low support. However hhu-dl-materials-2019 build file is not available. You can download it from GitHub.

hhu-dl-materials-2019

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Quality

Security

License

Reuse

Support

hhu-dl-materials-2019 has a low active ecosystem.

It has 4 star(s) with 6 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of hhu-dl-materials-2019 is current.

Quality

hhu-dl-materials-2019 has no bugs reported.

Security

hhu-dl-materials-2019 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

hhu-dl-materials-2019 does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

hhu-dl-materials-2019 releases are not available. You will need to build from source code and install.

hhu-dl-materials-2019 has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed hhu-dl-materials-2019 and discovered the below as its top functions. This is intended to give you an instant insight into hhu-dl-materials-2019 implemented functionality, and help decide if they suit your requirements.

Train a single model
Calculate the total loss of a dataset
Create data loader for data_set
Calculate the accuracy of a given language
Calculate the total loss for a given dataset
Calculate the cross entropy between two outputs
Compute the cross entropy between outputs and targets
Benchmark the experiment
R Compute the product of the matrix M
Calculates the accuracy of the dependency graph
Return a list of POS tags for the input batch
Flatten a list of lists
Split data into three ways
Read all the names in a directory
Computes the accuracy of a given language
Return a filtered list of tokens
Return the set of features in the given data_set
Convert a dictionary to a list of lists
Compute the forward computation
Return the gradient of X
Calculates the accuracy of the given sentence
R Vectorized product of matrix M
Randomly split a list
Compute the forward and depencies of a sentence
Serialize the token list
Parse ID value
Load data from a file

Get all kandi verified functions for this library.

hhu-dl-materials-2019 Key Features

No Key Features are available at this moment for hhu-dl-materials-2019.

hhu-dl-materials-2019 Examples and Code Snippets

No Code Snippets are available at this moment for hhu-dl-materials-2019.

Community Discussions

No Community Discussions are available at this moment for hhu-dl-materials-2019.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install hhu-dl-materials-2019

You can download it from GitHub.
You can use hhu-dl-materials-2019 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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