Seq2Seq-Chatbot | Seq2Seq Chatbot Using Tensorflow | Chat library

by FR0ST1N Python Version: Current License: MIT

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

kandi X-RAY | Seq2Seq-Chatbot Summary

Seq2Seq-Chatbot is a Python library typically used in Institutions, Learning, Education, Messaging, Chat, Tensorflow, Neural Network applications. Seq2Seq-Chatbot has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Seq2Seq-Chatbot build file is not available. You can download it from GitHub.

Seq2Seq Chatbot Using Tensorflow.

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Quality

Security

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Support

Seq2Seq-Chatbot has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Seq2Seq-Chatbot has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Seq2Seq-Chatbot is current.

Quality

Seq2Seq-Chatbot has no bugs reported.

Security

Seq2Seq-Chatbot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Seq2Seq-Chatbot 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

Seq2Seq-Chatbot releases are not available. You will need to build from source code and install.

Seq2Seq-Chatbot 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 Seq2Seq-Chatbot and discovered the below as its top functions. This is intended to give you an instant insight into Seq2Seq-Chatbot implemented functionality, and help decide if they suit your requirements.

Train the model
Get a random batch of decoder inputs
Performs a single step
Create vocabulary
Read data from source files
Convert a data file to a list of tokens
Creates a model
Prepare custom data files
Convert a sentence to a list of tokens
Basic tokenizer
Runs the decoder
Check if the active Activator is triggered

Get all kandi verified functions for this library.

Seq2Seq-Chatbot Key Features

No Key Features are available at this moment for Seq2Seq-Chatbot.

Seq2Seq-Chatbot Examples and Code Snippets

No Code Snippets are available at this moment for Seq2Seq-Chatbot.

Community Discussions

Trending Discussions on Seq2Seq-Chatbot

Attribute Error: 'module' object has no attribute 'GraphKeys'

QUESTION

Attribute Error: 'module' object has no attribute 'GraphKeys'

Asked 2020-Apr-25 at 13:37

I'm currently trying to get a chatbot running with tensorflow. The example for the chatbot is from this repository: Github

I ran into some issues when I tried to run this in my tensorflow docker container. When starting the script the script exits with an Attribute Error.

...

ANSWER

Answered 2019-Jun-20 at 14:18

Maybe tl mismatch tf, you need to update your tensorlayer to 2.0+.you can use this instruction：

Source https://stackoverflow.com/questions/55133928

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

Vulnerabilities

No vulnerabilities reported

Install Seq2Seq-Chatbot

You can download it from GitHub.
You can use Seq2Seq-Chatbot 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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