lasagne_seq2seq | [unmaintained]
kandi X-RAY | lasagne_seq2seq Summary
kandi X-RAY | lasagne_seq2seq Summary
lasagne_seq2seq is a Python library. lasagne_seq2seq has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
[unmaintained]
[unmaintained]
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Support
lasagne_seq2seq has a low active ecosystem.
It has 3 star(s) with 1 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
lasagne_seq2seq has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of lasagne_seq2seq is current.
Quality
lasagne_seq2seq has no bugs reported.
Security
lasagne_seq2seq has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
lasagne_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.
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lasagne_seq2seq releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed lasagne_seq2seq and discovered the below as its top functions. This is intended to give you an instant insight into lasagne_seq2seq implemented functionality, and help decide if they suit your requirements.
- Returns a model that can be used to create a dialog
- Loads a Word2Vec model
- Train a Word2Vec model
- Loads a pretrained model from a pretrained pretrained model
- Learn the vocabulary
- Return a list of lines for validation set
- Given a list of tokens return a list of tokens
- Returns a list of tokenized dialog lines
- Plot test results
- Helper function to write the prediction results to csv
- Format time
- Returns a string describing the iteration statistics
- Updates the perplexity timestamps
- Compute the variance of each validation_ids
- Convert a sentence into a sequence of tokens
- Return a list of all words in a file
- Get a vectorized token sequence from a token sequence
- Try to guess the best fit
- Generate data
- Test the data
- Get a logger
- Create a dataset
- Builds the LSTM network
Get all kandi verified functions for this library.
lasagne_seq2seq Key Features
No Key Features are available at this moment for lasagne_seq2seq.
lasagne_seq2seq Examples and Code Snippets
No Code Snippets are available at this moment for lasagne_seq2seq.
Community Discussions
No Community Discussions are available at this moment for lasagne_seq2seq.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install lasagne_seq2seq
You can download it from GitHub.
You can use lasagne_seq2seq 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.
You can use lasagne_seq2seq 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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