kaggle_amazon_from_space | Here my code from kaggle competition Planet

by n01z3 Python Version: Current License: No License

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

kandi X-RAY | kaggle_amazon_from_space Summary

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

Here my code from kaggle competition "Planet: Understanding the Amazon from Space"

Support

Quality

Security

License

Reuse

Support

kaggle_amazon_from_space has a low active ecosystem.

It has 40 star(s) with 9 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of kaggle_amazon_from_space is current.

Quality

kaggle_amazon_from_space has 0 bugs and 48 code smells.

Security

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

kaggle_amazon_from_space code analysis shows 0 unresolved vulnerabilities.

There are 25 security hotspots that need review.

License

kaggle_amazon_from_space 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

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

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

kaggle_amazon_from_space saves you 431 person hours of effort in developing the same functionality from scratch.

It has 1020 lines of code, 78 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

Augment 2d image
Random contrast
Randomly distributed a random image
RandomDistort 1 image
Random shift and rotate image
Random filter
Flip an image
Transpose an image
Plots the tensors
Convert val to function
Data loader for pytorch
Compute the f - beta score of a beta distribution
Calculate the f - beta score
Augment an image
Augment TST
Load data from pytorch dataset
Get modality
Compares two cross - validation results
Add training arguments to train
Display an image

Get all kandi verified functions for this library.

kaggle_amazon_from_space Key Features

No Key Features are available at this moment for kaggle_amazon_from_space.

kaggle_amazon_from_space Examples and Code Snippets

No Code Snippets are available at this moment for kaggle_amazon_from_space.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install kaggle_amazon_from_space

You can download it from GitHub.
You can use kaggle_amazon_from_space 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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