seq2seq-chatbot | A sequence2sequence chatbot implementation with TensorFlow | Chat library

by AbrahamSanders Python Version: v0.2 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 Messaging, Chat, Deep Learning, 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.

A sequence2sequence chatbot implementation with TensorFlow.

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Quality

Security

License

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Support

seq2seq-chatbot has a low active ecosystem.

It has 88 star(s) with 46 fork(s). There are 10 watchers for this library.

It had no major release in the last 12 months.

There are 20 open issues and 16 have been closed. On average issues are closed in 44 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of seq2seq-chatbot is v0.2

Quality

seq2seq-chatbot has 0 bugs and 0 code smells.

Security

seq2seq-chatbot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

seq2seq-chatbot code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

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 available to install and integrate.

seq2seq-chatbot 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.

seq2seq-chatbot saves you 802 person hours of effort in developing the same functionality from scratch.

It has 1843 lines of code, 100 functions and 23 files.

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

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.

Reads a single dataset
Adds one or more words
Create and return a vocabulary
Validate that this vocabulary instance is compiled
Build the model
Create a RNN cell
Build the encoder
Builds the attention layer
Handle command
Print command help
Start the chatbot
Loads a vocabulary from a file
Create batch files
Loads the vocabulary from a file
Compare the best training loss
Loads the training statistics from a JSON file
Save the object to a JSON file
Decrements the learning rate
Save answers to file
Sort the list
Read the tokens and embeddings
Compares the validation_metric_metric_value
Reads the tokens and embeddings
Print all commands
Generate batches of question_size
Validate a batch of inputs
Train on a single batch
Split the validation

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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