easy_seq2seq | go to https | Chat library

by suriyadeepan Python Version: Current License: No License

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kandi X-RAY | easy_seq2seq Summary

easy_seq2seq is a Python library typically used in Messaging, Chat, Tensorflow, Neural Network applications. easy_seq2seq has no bugs, it has no vulnerabilities and it has low support. However easy_seq2seq build file is not available. You can download it from GitHub.

An implementation of Seq2Seq that actually works. I want to make it easy for people to train their own seq2seq model with any corpus. I am also adding the parameters of my trained model for people to just use it without training. If you have a model that works share your model params here, as external link or do a pull request. I have used Cornell Movie Dialog Corpus to train my model. A link to preprocessed data and scripts for preprocessing can be found in this repo.

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Quality

Security

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Support

easy_seq2seq has a low active ecosystem.

It has 299 star(s) with 173 fork(s). There are 25 watchers for this library.

It had no major release in the last 6 months.

There are 35 open issues and 9 have been closed. On average issues are closed in 2 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of easy_seq2seq is current.

Quality

easy_seq2seq has no bugs reported.

Security

easy_seq2seq has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

easy_seq2seq 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

easy_seq2seq releases are not available. You will need to build from source code and install.

easy_seq2seq has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

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easy_seq2seq Key Features

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easy_seq2seq Examples and Code Snippets

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Community Discussions

Trending Discussions on easy_seq2seq

UnicodeDecodeError: 'utf-8' codec can't decode byte 0x92 in position 1: invalid start byte

What is the expected time of training for the following Seq2Seq model?

QUESTION

UnicodeDecodeError: 'utf-8' codec can't decode byte 0x92 in position 1: invalid start byte

Asked 2019-Feb-01 at 07:21

I had built chatbot following this github: https://github.com/llSourcell/tensorflow_chatbot

Also I get data on: https://github.com/suriyadeepan/easy_seq2seq/tree/master/data

I use tensorflow 0.12 with python 3.5. Can someone help me fix this problem: >> Mode : test

...

ANSWER

Answered 2019-Feb-01 at 07:21

Please try to read the data using encoding='unicode_escape'. For example

df= pd.read_csv('file_name.csv',encoding ='unicode_escape')

It worked for me.

Source https://stackoverflow.com/questions/50218503

QUESTION

What is the expected time of training for the following Seq2Seq model?

Asked 2017-Feb-26 at 08:45

Hello I am trying to test the following Seq2Seq model in order to get a Chatbot, I am following this tutorial:

http://suriyadeepan.github.io/2016-06-28-easy-seq2seq/

And this is the main code:

https://github.com/suriyadeepan/easy_seq2seq

The problem tha I am having is in the trainnig time, after to download the appropiate corpus I ran the following code to train:

...

ANSWER

Answered 2017-Feb-26 at 08:45

Training deep models on a CPU takes forever. If you plan on actually using deep learning technology you will have to get a gpu or use a pretrained one and even then I would recommend a gpu, because predicting is just that much faster.

Source https://stackoverflow.com/questions/42464288

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

Vulnerabilities

No vulnerabilities reported

Install easy_seq2seq

Create temporary working directory prior to training
Download test/train data from Cornell Movie Dialog Corpus

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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