nflows | Normalizing flows in PyTorch | Code Inspection library

by bayesiains Python Version: 0.14 License: MIT

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

kandi X-RAY | nflows Summary

nflows is a Python library typically used in Code Quality, Code Inspection, Pytorch applications. nflows has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install nflows' or download it from GitHub, PyPI.

nflows is a comprehensive collection of normalizing flows using PyTorch.

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Quality

Security

License

Reuse

Support

nflows has a low active ecosystem.

It has 669 star(s) with 104 fork(s). There are 28 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 33 have been closed. On average issues are closed in 165 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of nflows is 0.14

Quality

nflows has 0 bugs and 0 code smells.

Security

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

nflows code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nflows 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

nflows releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

nflows saves you 2796 person hours of effort in developing the same functionality from scratch.

It has 6051 lines of code, 487 functions and 74 files.

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

Top functions reviewed by kandi - BETA

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

Sample the model
Compute the log probability of the given inputs
Sample from the given number of samples
Unstrained spline
Calculate a rational quadratic spline
Unstrained linear spline
Linear spline
Unstrained quadratic spline
Perform quadratic spline
Unstrained cubic spline
Calculate a cubic spline
Performs the inverse transformation
Computes the weighted weight transformation of the feature
Generate samples from context
Forward without cache
Compute the log probability
Perform the forward computation
Calculates the weight transformation of the gradient matrix
Inverse of inverse
Sample from the distribution
Sample from the model
Generate a mask and its degree
Compute the log probability of the input tensor
Performs the forward computation
Inverse of the inverse function
Compute log probability

Get all kandi verified functions for this library.

nflows Key Features

No Key Features are available at this moment for nflows.

nflows Examples and Code Snippets

No Code Snippets are available at this moment for nflows.

Community Discussions

Trending Discussions on nflows

GEKKO optimizer @error: Inequality Definition invalid inequalities: z > x < y

QUESTION

GEKKO optimizer @error: Inequality Definition invalid inequalities: z > x < y

Asked 2020-Jul-21 at 01:52

I am trying to solve a MINLP using the Gekko package. A simple problem is shown below.

the optimization problem

I wrote the code below but it gives me this error

@error: Inequality Definition invalid inequalities: z > x < y

...

ANSWER

Answered 2020-Jul-21 at 01:52

There are many issues with your current model. Here is a fix for your variable declaration and objective function that is easier to configure and read.

Source https://stackoverflow.com/questions/63005603

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

Vulnerabilities

No vulnerabilities reported

Install nflows

To install from PyPI:.

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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