zforcing | Repository for the paper ZForcing : Training

by sordonia Python Version: Current License: No License

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

kandi X-RAY | zforcing Summary

zforcing is a Python library. zforcing has no vulnerabilities and it has low support. However zforcing has 1 bugs and it build file is not available. You can download it from GitHub.

Repository for the paper ''ZForcing: Training Stochastic Recurrent Networks''.

Support

Quality

Security

License

Reuse

Support

zforcing has a low active ecosystem.

It has 29 star(s) with 7 fork(s). There are 2 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 495 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of zforcing is current.

Quality

zforcing has 1 bugs (1 blocker, 0 critical, 0 major, 0 minor) and 52 code smells.

Security

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

zforcing code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

zforcing 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

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

zforcing has no build file. You will be need to create the build yourself to build the component from source.

zforcing saves you 553 person hours of effort in developing the same functionality from scratch.

It has 1293 lines of code, 80 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Train model
Evaluate the model
Save state to file
Iterate through data
Return a slice of the data
Applies a window to a batch
Apply FFT to a batch of data
Compute the discrete Fourier transform
Forward pass function
Convert arg to a list
Bwd pass through the input
Forward pass through the function
Load data from blizzard tbptt
Segment an array
Fetch bloss tbptt tables
Load data from data_path
Fetch data from hdf5 files
Evaluate a model
Loads a model from a file
Apply Fourier transform to a batch of examples
Compute the inverse Fourier Transform
Pow the magnitude of a batch
Inverse function

Get all kandi verified functions for this library.

zforcing Key Features

No Key Features are available at this moment for zforcing.

zforcing Examples and Code Snippets

No Code Snippets are available at this moment for zforcing.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install zforcing

You can download it from GitHub.
You can use zforcing 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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