TDNN | Time delay neural network implementation | Speech library
kandi X-RAY | TDNN Summary
kandi X-RAY | TDNN Summary
TDNN is a Python library typically used in Artificial Intelligence, Speech applications. TDNN has no bugs, it has no vulnerabilities and it has low support. However TDNN build file is not available. You can download it from GitHub.
Simple Time Delay Neural Network (TDNN) implementation in Pytorch. Uses the unfold method to slide over an input sequence.
Simple Time Delay Neural Network (TDNN) implementation in Pytorch. Uses the unfold method to slide over an input sequence.
Support
Quality
Security
License
Reuse
Support
TDNN has a low active ecosystem.
It has 130 star(s) with 28 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
There are 3 open issues and 0 have been closed. On average issues are closed in 289 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of TDNN is current.
Quality
TDNN has 0 bugs and 0 code smells.
Security
TDNN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
TDNN code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
TDNN 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
TDNN releases are not available. You will need to build from source code and install.
TDNN 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.
TDNN saves you 17 person hours of effort in developing the same functionality from scratch.
It has 48 lines of code, 2 functions and 1 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed TDNN and discovered the below as its top functions. This is intended to give you an instant insight into TDNN implemented functionality, and help decide if they suit your requirements.
- Initialize the TDNN .
- Perform forward transformation .
Get all kandi verified functions for this library.
TDNN Key Features
No Key Features are available at this moment for TDNN.
TDNN Examples and Code Snippets
Copy
private void start(String[] args) throws Exception {
processCommandline(args);
// Create the channel
// This file could be moved, or made a command line option.
channel = new JChannel("src/main/resources/udp.xml");
Copy
public static void main(String[] args) throws IOException {
DatagramChannel client = startClient();
String msg = "Hello, this is a Baeldung's DatagramChannel based UDP client!";
InetSocketAddress serverAddress = new InetSocket
Copy
private AbstractNioChannel udpChannel(int port, ChannelHandler handler) throws IOException {
var channel = new NioDatagramChannel(port, handler);
channel.bind();
channels.add(channel);
return channel;
}
Community Discussions
Trending Discussions on TDNN
QUESTION
LocalStorage for current div?
Asked 2021-Jun-24 at 19:53
I'm trying to make localstorage to store the current chosen div like button clicked, but I'm still weak on js coding. Could you please tell me, why this code is not working and storing the current div?
...ANSWER
Answered 2021-Jun-24 at 19:53getElementsByClassName
returns list of elements, not a single element.light
class only available when you click the button, so youronclick
registration will never succeed- you don't have anything in the code to set theme when page loaded.
Try this: https://jsfiddle.net/fgr1b97d/
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install TDNN
You can download it from GitHub.
You can use TDNN 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 TDNN 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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