Code_CASC

by Wangt-CN Python Version: Current License: No License

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

kandi X-RAY | Code_CASC Summary

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

Code_CASC

Support

Quality

Security

License

Reuse

Support

Code_CASC has a low active ecosystem.

It has 4 star(s) with 5 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 1 have been closed. On average issues are closed in 11 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Code_CASC is current.

Quality

Code_CASC has no bugs reported.

Security

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

License

Code_CASC 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

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

Code_CASC has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Evaluate rank on a dataset
Loads the state dictionary
Return a DataLoader for precomp processing
Get test loader
Encodes the given data into memory
Train the model
Log meter values
Compute the forward loss
Train an embeddings model
Builds the vocabulary
Adds a word to the corpus
Reads captions from a txt file
Compute cross - correlation matrix
Compute the similarity score for each image
Get loaders for training
Get a precomputed data loader
Compute the features for each image
Adjust learning rate based on optimizer
Adjust the learning rate of the optimizer
Serialize a vocabulary to JSON
Loads the state of the encoder
Load the state of the encoder
Forward forward computation
Save a checkpoint to a checkpoint
Forward the RNN embedding
Validate the model
Loads the state from a dictionary

Get all kandi verified functions for this library.

Code_CASC Key Features

No Key Features are available at this moment for Code_CASC.

Code_CASC Examples and Code Snippets

No Code Snippets are available at this moment for Code_CASC.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Code_CASC

You can download it from GitHub.
You can use Code_CASC 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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