CORnet | 19 Oral ] CORnet : Modeling the Neural Mechanisms | Machine Learning library

by dicarlolab Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | CORnet Summary

CORnet is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Neural Network applications. CORnet has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

A family of simple yet powerful deep neural networks for visual neuroscience. What makes CORnets useful:.

Support

Quality

Security

License

Reuse

Support

CORnet has a low active ecosystem.

It has 221 star(s) with 60 fork(s). There are 18 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 15 have been closed. On average issues are closed in 28 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CORnet is current.

Quality

CORnet has 0 bugs and 0 code smells.

Security

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

CORnet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

CORnet is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

CORnet 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, examples and code snippets are available.

CORnet saves you 257 person hours of effort in developing the same functionality from scratch.

It has 624 lines of code, 39 functions and 7 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Train image
Get a CNN model
Test the model
Set the number of GPU GPUs
R Register a cornet
R Generates a correlation matrix
R Embedding model
R Linear RNN model

Get all kandi verified functions for this library.

CORnet Key Features

No Key Features are available at this moment for CORnet.

CORnet Examples and Code Snippets

No Code Snippets are available at this moment for CORnet.

Community Discussions

Trending Discussions on CORnet

Using one lookup table for multiple columns in another table with SQLite

How to test a trained model saved in .pth.tar files?

QUESTION

Using one lookup table for multiple columns in another table with SQLite

Asked 2021-Sep-08 at 03:39

Using one lookup table for multiple columns in another table with SQLite

I need to use a lookup table Switch (with NAs) multiple times (multiple references) in table SwitchLinkage (also with NAs) (only selected data provided for both tables).

Table: Switch

SwitchID Name DefaultInputOutputSwitchAsgnCode AccessibleForInput AccessibleForOutput Disp_ImageSetInstanceID 1380 T: Anches Pedal (Stop Screen) 2020 1380 1381 T: Anches Cornet (Stop Screen) 2120 1381 1382 T: Anches Bombarde (Stop Screen 2119 1382 1383 T: Anches Recit (Stop Screen) 2213 1383 1392 T: Tremolo (Stop Screen) 2214 1392 1393 T: TremoloGO. 1393 1394 T: TremoloBom 1394 1395 T: TremoloRec 1395 1493 T: TremoloGO. 1493 1494 T: TremoloBom 1494 1495 T: TremoloRec 1495 2080 T: Anches Pedal (Extend) Y Y 2080 2081 T: Anches Cornet (Extend) Y Y 2081 2082 T: Anches Bombarde (Extend) Y Y 2082 2083 T: Anches Recit (Extend) Y Y 2083 12080 T: Anches Pedal (Split Screen) Y Y 12080 12081 T: Anches Cornet (Split Screen) 12081 12082 T: Anches Bombarde (Split Scree 12082 12083 T: Anches Recit (Split Screen) 12083

Table: SwitchLinkage

SourceSwitchID DestSwitchID ConditionSwitchID SourceSwitchLinkIfEngaged ConditionSwitchLinkIfEngaged ReevaluateIfCondSwitchChangesState EngageLinkActionCode DisengageLinkActionCode 1380 12080 Y N Y 1 2 1381 12081 Y N Y 1 2 1382 12082 Y N Y 1 2 1383 12083 Y N Y 1 2 1393 1493 1392 Y Y Y 1 2 1394 1494 1392 Y Y Y 1 2 1395 1495 1392 Y Y Y 1 2 2080 11080 Y N Y 1 2 2081 11081 Y N Y 1 2 2082 11082 Y N Y 1 2 2083 11083 Y N Y 1 2 12080 1380 Y N Y 1 2 12081 1381 Y N Y 1 2 12082 1382 Y N Y 1 2 12083 1383 Y N Y 1 2

In table SwitchLinkage: (SourceSwitchID) REFERENCES Switch (SwitchID) (DestSwitchID) REFERENCES Switch (SwitchID) (ConditionSwitchID) REFERENCES Switch (SwitchID)

I provided an example of what I want to achieve in table Final. NAs should be allowed as per the input tables.

Table: Final

SourceSwitchID Name_SourceSwitch AsgnCode_SourceSwitch DestSwitchID Name_DestSwitch AsgnCode_DestSwitch ConditionSwitchID Name_ConditionSwitch AsgnCode_ConditionSwitch SourceSwitchLinkIfEngaged EngageLinkActionCode DisengageLinkActionCode 1380 T: Anches Pedal (Stop Screen) 2020 12080 T: Anches Pedal (Split Screen) Y 1 2 1381 T: Anches Cornet (Stop Screen) 2120 12081 T: Anches Cornet (Split Screen) Y 1 2 1382 T: Anches Bombarde (Stop Screen 2119 12082 T: Anches Bombarde (Split Scree Y 1 2 1383 T: Anches Recit (Stop Screen) 2213 12083 T: Anches Recit (Split Screen) Y 1 2 1393 T: TremoloGO. 1493 T: TremoloGO. 1392 T: Tremolo (Stop Screen) 2214 Y 1 2 1394 T: TremoloBom 1494 T: TremoloBom 1392 T: Tremolo (Stop Screen) 2214 Y 1 2 1395 T: TremoloRec 1495 T: TremoloRec 1392 T: Tremolo (Stop Screen) 2214 Y 1 2 2080 T: Anches Pedal (Extend) 11080 Y 1 2 2081 T: Anches Cornet (Extend) 11081 Y 1 2 2082 T: Anches Bombarde (Extend) 11082 Y 1 2 2083 T: Anches Recit (Extend) 11083 Y 1 2 12080 T: Anches Pedal (Split Screen) 1380 T: Anches Pedal (Stop Screen) 2020 Y 1 2 12081 T: Anches Cornet (Split Screen) 1381 T: Anches Cornet (Stop Screen) 2120 Y 1 2 12082 T: Anches Bombarde (Split Scree 1382 T: Anches Bombarde (Stop Screen 2119 Y 1 2 12083 T: Anches Recit (Split Screen) 1383 T: Anches Recit (Stop Screen) 2213 Y 1 2

I have no idea how to do this and would appreciate any form of help.

...

ANSWER

Answered 2021-Sep-08 at 03:39

Here's an example with just part of the data and a few of the columns. It's just an outer join / LEFT JOIN between each Switch and the Linkage table. Any missing links will just produce NULL in the result for the corresponding columns.

Use derived column names, as needed, to adjust the columns in the result.

It's not clear if there's any other logic you're asking about.

The test case:

Working Test Case for sqlite

The SQL:

Source https://stackoverflow.com/questions/69094733

QUESTION

How to test a trained model saved in .pth.tar files?

Asked 2021-Aug-03 at 10:23

I am working with CORnet-Z and I am building a separate test file.

The model seems to be saved as .pth.tar files

...

ANSWER

Answered 2021-Aug-03 at 10:23

def load_checkpoint(checkpoint, model, optimizer = None):

    if not os.path.exists(checkpoint):
        raise("File does not exists {}".format(checkpoint))

    checkpoint = torch.load(checkpoint)
    model.load_state_dict(checkpoint['state_dict'])


    if optimizer:
        optimizer.load_state_dict(checkpoint['optim_dict'])


    return checkpoint

Source https://stackoverflow.com/questions/68632076

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

Vulnerabilities

No vulnerabilities reported

Install CORnet

You can download it from GitHub.
You can use CORnet 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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