PC-DARTS | Partial Channel Connections for Memory-Efficient
kandi X-RAY | PC-DARTS Summary
kandi X-RAY | PC-DARTS Summary
PC-DARTS is a Python library. PC-DARTS has no bugs, it has no vulnerabilities and it has low support. However PC-DARTS build file is not available. You can download it from GitHub.
PC-DARTS has been accepted for spotlight presentation at ICLR 2020!.
PC-DARTS has been accepted for spotlight presentation at ICLR 2020!.
Support
Quality
Security
License
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Support
PC-DARTS has a low active ecosystem.
It has 375 star(s) with 86 fork(s). There are 9 watchers for this library.
It had no major release in the last 6 months.
There are 12 open issues and 45 have been closed. On average issues are closed in 105 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of PC-DARTS is current.
Quality
PC-DARTS has no bugs reported.
Security
PC-DARTS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
PC-DARTS 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
PC-DARTS releases are not available. You will need to build from source code and install.
PC-DARTS 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 PC-DARTS and discovered the below as its top functions. This is intended to give you an instant insight into PC-DARTS implemented functionality, and help decide if they suit your requirements.
- Train the model
- Compute the unrolled model
- Performs the backward step
- Backward backward step
- Forward computation
- Shuffle x
- Random shuffle
- Perform the forward computation
- Drop path
- Create the directory for the experiment
- Saves checkpoint
- Adjust the learning rate
- Infers the given model with the given criterion
- Data_transforms
- Plot genotype
- Compute the genotype of the model
- Return a copy of the network
Get all kandi verified functions for this library.
PC-DARTS Key Features
No Key Features are available at this moment for PC-DARTS.
PC-DARTS Examples and Code Snippets
No Code Snippets are available at this moment for PC-DARTS.
Community Discussions
No Community Discussions are available at this moment for PC-DARTS.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install PC-DARTS
You can download it from GitHub.
You can use PC-DARTS 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 PC-DARTS 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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