ddim | Denoising Diffusion Implicit Models

by ermongroup Python Version: Current License: MIT

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

kandi X-RAY | ddim Summary

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

Denoising Diffusion Implicit Models

Support

Quality

Security

License

Reuse

Support

ddim has a low active ecosystem.

It has 730 star(s) with 116 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 14 have been closed. On average issues are closed in 37 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ddim is current.

Quality

ddim has 0 bugs and 0 code smells.

Security

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

ddim code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ddim 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

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

ddim 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.

It has 1619 lines of code, 87 functions and 15 files.

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

Top functions reviewed by kandi - BETA

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

Download files from Google Drive
Check the integrity of the image
Download a file from Google Drive
Extract confirm token from response cookies
Sample the model
Return the path to the CKPT model
Computes the md5 hash of a file
Download a file
Train the model
Returns the optimizer
Transform data
Get dataset
Forward convolutional transformer
Generate a tensor embedding given timesteps
Parse command line arguments and configuration
Convert a dictionary to a namespace
Forward computation
Create a copy of a module

Get all kandi verified functions for this library.

ddim Key Features

No Key Features are available at this moment for ddim.

ddim Examples and Code Snippets

No Code Snippets are available at this moment for ddim.

Community Discussions

Trending Discussions on ddim

How to write SPSS syntaxes using Python for looping purpose

QUESTION

How to write SPSS syntaxes using Python for looping purpose

Asked 2020-Feb-02 at 09:24

I have a list of Baseline and Post variables that I want to run descriptive statistics and ANCOVA.

...

ANSWER

Answered 2020-Feb-02 at 09:24

Here's a way to do this with a simple SPSS macro:

This will be the macro definition:

Source https://stackoverflow.com/questions/60021100

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

Vulnerabilities

No vulnerabilities reported

Install ddim

You can download it from GitHub.
You can use ddim 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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