EAD2020 | 1st place solution to EAD | Machine Learning library

by ubamba98 Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | EAD2020 Summary

EAD2020 is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. EAD2020 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However EAD2020 build file is not available. You can download it from GitHub.

The code accompanying our submission to the EndoCV 2020 challenge. Full paper here.

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Quality

Security

License

Reuse

Support

EAD2020 has a low active ecosystem.

It has 12 star(s) with 4 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

EAD2020 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of EAD2020 is current.

Quality

EAD2020 has no bugs reported.

Security

EAD2020 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

EAD2020 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

EAD2020 releases are not available. You will need to build from source code and install.

EAD2020 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 EAD2020 and discovered the below as its top functions. This is intended to give you an instant insight into EAD2020 implemented functionality, and help decide if they suit your requirements.

Train the network
Iterate over images
Compute the soft - jaccard score
Cutmix image using cutmix algorithm
Calculate training and loss metrics
Return the state of the optimizer
Calculates the dice metric
Calculate soft - jaccard score
Compute the f2 metric
Train dice metric based on dice metric
Calculate the mean F2 metric for each channel
Forward computation
Calculate the F2 F2 score
Calculate a single - dice coefficient
Calculate the metrics for each test
Calculate loss metrics for a given phase
Change the dataloader
Creates a data loader
Load a model
Load the state of the optimizer

Get all kandi verified functions for this library.

EAD2020 Key Features

No Key Features are available at this moment for EAD2020.

EAD2020 Examples and Code Snippets

No Code Snippets are available at this moment for EAD2020.

Community Discussions

Trending Discussions on EAD2020

Cannot run query on pyspark

QUESTION

Cannot run query on pyspark

Asked 2020-Dec-11 at 08:42

I have to select the month with most occurrences of each year and order from highest to lowest, on SQL server this query works

...

ANSWER

Answered 2020-Nov-27 at 19:07

SELECT * FROM 
(SELECT *, RANK() OVER(PARTITION BY year ORDER BY occurrences DESC) AS rn
FROM
(SELECT month, year, COUNT(day) as occurrences
FROM occurrences_sample
GROUP BY year, month)) 
WHERE rn = 1;

Source https://stackoverflow.com/questions/65041925

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

Vulnerabilities

No vulnerabilities reported

Install EAD2020

You can download it from GitHub.
You can use EAD2020 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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