real-nvp | Implementation of Real NVP in PyTorch | Machine Learning library

by chrischute Python Version: Current License: MIT

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kandi X-RAY | real-nvp Summary

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

Implementation of Real NVP in PyTorch. Based on the paper:. Density estimation using Real NVP Laurent Dinh, Jascha Sohl-Dickstein, Samy Bengio arXiv:1605.08803. Training script and hyperparameters designed to match the CIFAR-10 experiments described in Section 4.1 of the paper.

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real-nvp has a low active ecosystem.

It has 198 star(s) with 50 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 11 have been closed. On average issues are closed in 31 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of real-nvp is current.

Quality

real-nvp has 0 bugs and 0 code smells.

Security

real-nvp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

real-nvp code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

real-nvp is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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real-nvp releases are not available. You will need to build from source code and install.

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

Installation instructions are available. Examples and code snippets are not available.

real-nvp saves you 190 person hours of effort in developing the same functionality from scratch.

It has 468 lines of code, 32 functions and 14 files.

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

Top functions reviewed by kandi - BETA

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

Calculate the transform
Create a checkerboard mask
Forward forward computation
R Cube a 2x2 matrix
Runs the loss function
Sample from a tensor
Update the sum
Train the network
Compute the flow of the flow graph
Preprocess the initial transformation

Get all kandi verified functions for this library.

real-nvp Key Features

No Key Features are available at this moment for real-nvp.

real-nvp Examples and Code Snippets

No Code Snippets are available at this moment for real-nvp.

Community Discussions

Trending Discussions on real-nvp

tensorflow bijector construction

QUESTION

tensorflow bijector construction

Asked 2019-Oct-25 at 15:57

I am new to tensorflow distribution and bijector. I know when they design tensorflow distribution package, they partition a tensor's shape into three groups: [sample shape, batch_shape, event_shape]. But I find it hard to understand why when we define a new bijector class, they always defines parent class's event dimension to be 1. For example, the following code is a Real-NVP bijector class, and in its init function:

...

ANSWER

Answered 2018-Jul-05 at 11:40

event_ndims is the number of event dimensions, not the size of the input. Thus event_ndims=1 operates on vectors, event_ndims=2 on matrices, and so on. See the __init__ docstring for the Bijector class.

Source https://stackoverflow.com/questions/50672019

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

Vulnerabilities

No vulnerabilities reported

Install real-nvp

Make sure you have Anaconda or Miniconda installed.
Clone repo with git clone https://github.com/chrischute/real-nvp.git rnvp.
Go into the cloned repo: cd rnvp.
Create the environment: conda env create -f environment.yml.
Activate the environment: source activate rnvp.

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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