min-char-rnn | Minimal character-level language model | Machine Learning library

by weixsong Python Version: Current License: No License

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

kandi X-RAY | min-char-rnn Summary

min-char-rnn is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Numpy, Neural Network applications. min-char-rnn has no bugs, it has no vulnerabilities and it has low support. However min-char-rnn build file is not available. You can download it from GitHub.

Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy

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min-char-rnn has a low active ecosystem.

It has 132 star(s) with 80 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of min-char-rnn is current.

Quality

min-char-rnn has 0 bugs and 0 code smells.

Security

min-char-rnn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

min-char-rnn code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

min-char-rnn 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

min-char-rnn releases are not available. You will need to build from source code and install.

min-char-rnn 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.

min-char-rnn saves you 30 person hours of effort in developing the same functionality from scratch.

It has 83 lines of code, 2 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Calculate loss function .
Sample from random characters .

Get all kandi verified functions for this library.

min-char-rnn Key Features

No Key Features are available at this moment for min-char-rnn.

min-char-rnn Examples and Code Snippets

No Code Snippets are available at this moment for min-char-rnn.

Community Discussions

Trending Discussions on min-char-rnn

Unknown thick dashed border that obscures edited variable/function names in VSCode

QUESTION

Unknown thick dashed border that obscures edited variable/function names in VSCode

Asked 2020-Oct-06 at 20:16

To replicate:

Install ms-python.python
Open a valid Python file in VSCode
- For testing, I am using the most starred .py gist: min-char-rnn.py
Delete a character from any variable

I then see this white dashed border-box when editing the variable vocab_size:

If I disable the ms-Python extension, the bordered box no longer appears

Is there a way to override the styling from ms-python (to make the border narrower or more transparent)?

...

ANSWER

Answered 2020-Oct-06 at 20:10

The dashed border-box is from the VSCode extension hediet-power-tools. There were two open related issues:

In settings.json, you can add the below setting to toggle between the available options: dashed (default) and colored where the latter works better on dark themes

Source https://stackoverflow.com/questions/64162301

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

Vulnerabilities

No vulnerabilities reported

Install min-char-rnn

You can download it from GitHub.
You can use min-char-rnn 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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