code2vec | TensorFlow code for the neural network | Machine Learning library

by tech-srl Python Version: Current License: MIT

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

kandi X-RAY | code2vec Summary

code2vec is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. code2vec has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

[Uri Alon] [Meital Zilberstein] [Omer Levy] and [Eran Yahav] "code2vec: Learning Distributed Representations of Code", POPL'2019 (

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code2vec has a medium active ecosystem.

It has 982 star(s) with 269 fork(s). There are 27 watchers for this library.

It had no major release in the last 6 months.

There are 22 open issues and 127 have been closed. On average issues are closed in 15 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of code2vec is current.

Quality

code2vec has 0 bugs and 0 code smells.

Security

code2vec has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

code2vec code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

code2vec 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

code2vec releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

code2vec saves you 1395 person hours of effort in developing the same functionality from scratch.

It has 3123 lines of code, 275 functions and 41 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed code2vec and discovered the below as its top functions. This is intended to give you an instant insight into code2vec implemented functionality, and help decide if they suit your requirements.

Train the model
Create callbacks
Creates a data reader
Returns a tf dataset
Predict results
Calculate the attention weight per path
Removes single batch dimension from a list of arrays
Processes input lines
Process a single file
Updates the state of the prediction
Runs the prediction
Returns a numpy array of the vocab
Call prediction function
Extract features from a list of directories
Load parameters from the command line
Called when a batch is finished
Loads a vocabulary from a histogram
Load or create a vocabulary
Get the number of examples in the dataset
Saves the dictionary to file
Log a code2vec model
Saves the vocabulary to file
Log the model configuration
Load and return a model
Save word2vec embedding matrix
Returns the path to the model weights load path

Get all kandi verified functions for this library.

code2vec Key Features

No Key Features are available at this moment for code2vec.

code2vec Examples and Code Snippets

No Code Snippets are available at this moment for code2vec.

Community Discussions

Trending Discussions on code2vec

How to use smaller font size in a GitHub table?

QUESTION

How to use smaller font size in a GitHub table?

Asked 2021-Feb-26 at 22:01

How to use a smaller font size in a GitHub readme.md?

I am trying to figure out how to use smaller text in the GitHub readme.

More specifically, I created a table and I want the font size to be smaller for this table.

I saw somewhere people recommended to use which I tried and does not work.

Table:

...

ANSWER

Answered 2021-Feb-26 at 06:18

Github doesn't allow inline-styles or classes. A workaround is to wrap sub tag around each element.

Embedding Script word2Vec _abc.sh code2Vec cde.sh

Source https://stackoverflow.com/questions/66380290

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

Vulnerabilities

No vulnerabilities reported

Install code2vec

You can download it from GitHub.
You can use code2vec 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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