seqGAN | simplified PyTorch implementation of SeqGAN : Sequence | Machine Learning library

by suragnair Python Version: Current License: No License

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

kandi X-RAY | seqGAN Summary

seqGAN is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Generative adversarial networks, Neural Network applications. seqGAN has no bugs, it has no vulnerabilities and it has low support. However seqGAN build file is not available. You can download it from GitHub.

A PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.). The code is highly simplified, commented and (hopefully) straightforward to understand. The policy gradients implemented are also much simpler than in the original work (and do not involve rollouts- a single reward is used for the entire sentence (inspired by the examples in The architectures used are different than those in the orignal work. Specifically, a recurrent bidirectional GRU network is used as the discriminator. The code performs the experiment on synthetic data as described in the paper. You are encouraged to raise any doubts regarding the working of the code as Issues.

Support

Quality

Security

License

Reuse

Support

seqGAN has a low active ecosystem.

It has 517 star(s) with 132 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 15 have been closed. On average issues are closed in 77 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of seqGAN is current.

Quality

seqGAN has 0 bugs and 6 code smells.

Security

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

seqGAN code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

seqGAN 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

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

seqGAN 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.

seqGAN saves you 107 person hours of effort in developing the same functionality from scratch.

It has 272 lines of code, 18 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Train discriminator
Prepare discriminator data
Sample from the model
Classify input
Performs the forward computation
Forward computation
Generate num_samples from a generator
Train the generator
Prepare inputs for a generator
Calculates the loss of a batch
Calculate oracle NLL loss
Train generator
Calculate the loss of a batch loss
Batch loss function

Get all kandi verified functions for this library.

seqGAN Key Features

No Key Features are available at this moment for seqGAN.

seqGAN Examples and Code Snippets

No Code Snippets are available at this moment for seqGAN.

Community Discussions

Trending Discussions on seqGAN

How to share variables of RNN on Tensorflow

QUESTION

How to share variables of RNN on Tensorflow

Asked 2017-Aug-24 at 17:54

I just make seqGAN on Tensorflow.

But I cannot share variables.

I wrote code aimed Discriminator as following...

...

ANSWER

Answered 2017-Aug-24 at 17:54

variable_scope doesn't interact directly with name_scope. variable_scope is used to determine whether to create new variables or lookup new variables. You should use variable_scope with get_variable to accomplish this.

Here are some examples:

Source https://stackoverflow.com/questions/45798088

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

Vulnerabilities

No vulnerabilities reported

Install seqGAN

You can download it from GitHub.
You can use seqGAN 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 .

Find more information at: