uclser20 | Code for the paper Unsupervised Contrastive Learning

by edufonseca Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | uclser20 Summary

uclser20 is a Python library. uclser20 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However uclser20 build file is not available. You can download it from GitHub.

Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.

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Quality

Security

License

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Support

uclser20 has a low active ecosystem.

It has 66 star(s) with 3 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 71 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of uclser20 is current.

Quality

uclser20 has no bugs reported.

Security

uclser20 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

uclser20 is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

uclser20 releases are not available. You will need to build from source code and install.

uclser20 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 uclser20 and discovered the below as its top functions. This is intended to give you an instant insight into uclser20 implemented functionality, and help decide if they suit your requirements.

Compute tfrep
Compute the spectrogram
Compute mel spectrogram from audio data
Load an audio file
Make a dataset
Fetch a file from a file
Wide resnet 50
Construct a ResNet instance
Configure the data
Get a dataset from the given args
Evaluate the model
Calculate accuracy
Train a continuous model
Update the statistics
Train cross entropy
Create a layer
Wrap wide resnet 1
Evaluate a single TensorFlow model
ResNet 4x4 x4x4
ResNet 3x8 bottleneck
Parse command line arguments
Experimental resnet factory
Resnet 34
Resnet50
ResNet 2

Get all kandi verified functions for this library.

uclser20 Key Features

No Key Features are available at this moment for uclser20.

uclser20 Examples and Code Snippets

No Code Snippets are available at this moment for uclser20.

Community Discussions

No Community Discussions are available at this moment for uclser20.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install uclser20

You can download it from GitHub.
You can use uclser20 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.