celeba-hq-modified | Modified h5tool.py make user getting celeba-HQ easier

by willylulu Python Version: Current License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions Vulnerabilities Install Support

kandi X-RAY | celeba-hq-modified Summary

celeba-hq-modified is a Python library. celeba-hq-modified has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However celeba-hq-modified build file is not available. You can download it from GitHub.

Modified h5tool.py make user getting celeba-HQ easier

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Quality

Security

License

Reuse

Support

celeba-hq-modified has a low active ecosystem.

It has 90 star(s) with 18 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 3 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of celeba-hq-modified is current.

Quality

celeba-hq-modified has 0 bugs and 0 code smells.

Security

celeba-hq-modified has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

celeba-hq-modified code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

celeba-hq-modified 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

celeba-hq-modified releases are not available. You will need to build from source code and install.

celeba-hq-modified 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.

celeba-hq-modified saves you 231 person hours of effort in developing the same functionality from scratch.

It has 564 lines of code, 32 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Create a new CelebA .
Parse command line arguments .
Create an LSUN dataset .
Create a custom dataset .
Compare two datasets .
Load CIFAR - 10 dataset .
Create MNIST dataset .
Process an iterable of items concurrently .
Displays images from hdf5 .
Create image from MNIST .

Get all kandi verified functions for this library.

celeba-hq-modified Key Features

No Key Features are available at this moment for celeba-hq-modified.

celeba-hq-modified Examples and Code Snippets

Modified euler modified .

python

Lines of Code : 43

License : Permissive (MIT License)

Copy

def euler_modified(
    ode_func: Callable, y0: float, x0: float, step_size: float, x_end: float
) -> np.array:
    """
    Calculate solution at each step to an ODE using Euler's Modified Method
    The Euler Method is straightforward to implemen

Parameter modifier modifier .

python

Lines of Code : 5

License : Non-SPDX (Apache License 2.0)

Copy

def parameter_modifiers(self):
    return [
        DistributionParameter(),
        combinations_lib.OptionalParameter("use_var_policy"),
    ]

Modify this object to be modified by the user

java

Lines of Code : 3

License : Non-SPDX

Copy

public void modify(Weapon weapon) {
    //Some modify logic to DB
  }

Community Discussions

No Community Discussions are available at this moment for celeba-hq-modified.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install celeba-hq-modified

You can download it from GitHub.
You can use celeba-hq-modified 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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