kandi X-RAY | ILYS-aoba-chatbot Summary
kandi X-RAY | ILYS-aoba-chatbot Summary
ILYS-aoba-chatbot is a Python library. ILYS-aoba-chatbot has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
ILYS-aoba-chatbot
ILYS-aoba-chatbot
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Quality
Security
License
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Support
ILYS-aoba-chatbot has a low active ecosystem.
It has 10 star(s) with 0 fork(s). There are 5 watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of ILYS-aoba-chatbot is 20201104
Quality
ILYS-aoba-chatbot has no bugs reported.
Security
ILYS-aoba-chatbot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
ILYS-aoba-chatbot 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
ILYS-aoba-chatbot releases are available to install and integrate.
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 ILYS-aoba-chatbot and discovered the below as its top functions. This is intended to give you an instant insight into ILYS-aoba-chatbot implemented functionality, and help decide if they suit your requirements.
- Main function
- Write data to HDF5 file
- Generate softmax model
- Average checkpoints
- Preprocess IWSLT17 tags
- Return the last n checkpoints
- Generate and re - process nbest
- R Return a path to a file name
- Get the directory for nbest nbest list
- Perform reprocessing on source and target
- Random search
- Generate and preprocess the nbest model
- Compute the score for a given model
- Forward decoder
- Prepare load dictionary
- Return the last n checkpoint files
- Average checkpointed checkpoints
- Compute embedding
- Pre - process IWSLT17 tags
- Perform the forward computation
- Performs an Adafactor step
- Save checkpoint
- Generate model
- Generate the GPU
- Quantize a model
- Generate light gradient
- Calculate the score for scoring
- Extract features
- Align a sequence of sequences
- Add command line arguments to an argparse parser
- Creates a distributed distributed multiseq model
- Forward computation
Get all kandi verified functions for this library.
ILYS-aoba-chatbot Key Features
No Key Features are available at this moment for ILYS-aoba-chatbot.
ILYS-aoba-chatbot Examples and Code Snippets
No Code Snippets are available at this moment for ILYS-aoba-chatbot.
Community Discussions
No Community Discussions are available at this moment for ILYS-aoba-chatbot.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ILYS-aoba-chatbot
You can download it from GitHub.
You can use ILYS-aoba-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.
You can use ILYS-aoba-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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