kandi X-RAY | tsm-rnnt Summary
kandi X-RAY | tsm-rnnt Summary
tsm-rnnt is a Python library. tsm-rnnt has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
tsm-rnnt
tsm-rnnt
Support
Quality
Security
License
Reuse
Support
tsm-rnnt has a low active ecosystem.
It has 4 star(s) with 0 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
tsm-rnnt has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of tsm-rnnt is current.
Quality
tsm-rnnt has no bugs reported.
Security
tsm-rnnt has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
tsm-rnnt 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
tsm-rnnt 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 tsm-rnnt and discovered the below as its top functions. This is intended to give you an instant insight into tsm-rnnt implemented functionality, and help decide if they suit your requirements.
- Evaluate a script - stacking script
- Create a LSTM script
- Flattens a list of hidden states
- Flattens a sequence of tensors
- Generate a sequence of phononames
- Creates a function that returns a function for a given tailo
- Split phonemes into phonemes
- Split phoneme line into phonemes
- Split phoneme
- Generate the maximal matching for the given phones
- Get a list of tuples from kwargs
- Log a message
- Test script for a script with LSTM
- Compute a bias matrix
- Test the script_stack_dropout
- Forward computation
- Returns the number of cpu affinity
- Generate a boolean mask for predictions
- Convert a text into a numpy array
- Apply a function to a progress map
- Work around the reader
- Split a word into a list of phones
- Forward a tensor
- Enables activation history for each module
- Compute the energy distribution
- Forward the given tensor
- Evaluate a script
Get all kandi verified functions for this library.
tsm-rnnt Key Features
No Key Features are available at this moment for tsm-rnnt.
tsm-rnnt Examples and Code Snippets
No Code Snippets are available at this moment for tsm-rnnt.
Community Discussions
No Community Discussions are available at this moment for tsm-rnnt.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tsm-rnnt
You can download it from GitHub.
You can use tsm-rnnt 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 tsm-rnnt 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 .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page