SpaceFusion | Jointly Optimizing Diversity and Relevance | Natural Language Processing library
kandi X-RAY | SpaceFusion Summary
kandi X-RAY | SpaceFusion Summary
SpaceFusion is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning applications. SpaceFusion has no bugs, it has no vulnerabilities and it has low support. However SpaceFusion build file is not available. You can download it from GitHub.
code/data for the NAACL'19 paper Jointly Optimizing Diversity and Relevance in Neural Response Generation. SpaceFusion is a regularized multi-task learning paradigm proposed to align and structure the unstructured latent spaces learned by different models trained over different datasets. Of particular interest is its application to neural conversation modelling, where SpaceFusion is used to jointly optimize the relevance and diversity of generated responses.
code/data for the NAACL'19 paper Jointly Optimizing Diversity and Relevance in Neural Response Generation. SpaceFusion is a regularized multi-task learning paradigm proposed to align and structure the unstructured latent spaces learned by different models trained over different datasets. Of particular interest is its application to neural conversation modelling, where SpaceFusion is used to jointly optimize the relevance and diversity of generated responses.
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SpaceFusion has a low active ecosystem.
It has 71 star(s) with 11 fork(s). There are 7 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 1 have been closed. On average issues are closed in 483 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of SpaceFusion is current.
Quality
SpaceFusion has no bugs reported.
Security
SpaceFusion has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
SpaceFusion 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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SpaceFusion releases are not available. You will need to build from source code and install.
SpaceFusion 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.
Top functions reviewed by kandi - BETA
kandi has reviewed SpaceFusion and discovered the below as its top functions. This is intended to give you an instant insight into SpaceFusion implemented functionality, and help decide if they suit your requirements.
- Runs s2s
- Load data from the dataset
- Evaluate the model
- Returns the model field name
- Extract submission files from a file
- Normalize twitter text
- Extract submissions from a file
- Extract comments from a set of files
- Generate a 2D visualization of the cloud
- Euclidean distance between two vectors
- Convert an integer to a human readable string
- Compute the euc distance matrix
- Builds a conv output file
- Return a list of Convo objects
- Convenience method to save a Convo file
- Resets the generator
- Generate lines from a file
- Convert json file to text
- Convert to text file
- Returns the model field for the given args
- Generate an angel history
- Extract multiple refs from a file
- Interpolate the model
Get all kandi verified functions for this library.
SpaceFusion Key Features
No Key Features are available at this moment for SpaceFusion.
SpaceFusion Examples and Code Snippets
No Code Snippets are available at this moment for SpaceFusion.
Community Discussions
Trending Discussions on SpaceFusion
QUESTION
PyTorch: Different Forward Methods for Train and Test/Validation
Asked 2019-Nov-11 at 08:53
I'm currently trying to extend a model that is based on FairSeq/PyTorch. During training I need to train two encoders: one with the target sample, and the original one with the source sample.
So the current forward function looks like this:
...ANSWER
Answered 2019-Nov-01 at 14:00By default, calling model() invoke forward method which is train forward in your case, so you just need to define new method for your test/eval path inside your model class, smth like here:
Code:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install SpaceFusion
You can download it from GitHub.
You can use SpaceFusion 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 SpaceFusion 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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