rmnist | examples trained on very reduced versions

by mnielsen Python Version: Current License: MIT

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

kandi X-RAY | rmnist Summary

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

By Michael Nielsen, November 2017. Written to accompany a short essay about Reduced MNIST (RMNIST). Written for Python 2.7. This is throwaway research code: I don't intend to expand or fix or maintain it. I'm sharing it in case you want to follow along with the detailed code in the essay linked above. That said, notification of egregious bugs significantly affecting the output is welcome.

Support

Quality

Security

License

Reuse

Support

rmnist has a low active ecosystem.

It has 39 star(s) with 15 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of rmnist is current.

Quality

rmnist has 0 bugs and 0 code smells.

Security

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

rmnist code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

rmnist 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

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

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

rmnist saves you 231 person hours of effort in developing the same functionality from scratch.

It has 564 lines of code, 40 functions and 8 files.

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

Top functions reviewed by kandi - BETA

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

Train validation set
Validate the given model
Calculate the accuracy of the given models
Train a neural network
Make a random rmnist
Load MNIST dataset
Adds a dict to the cache
Hashes a dictionary
Load MNIST
Shift image by d
Calculate accuracy
Forward partial partial computation
Train a model
Return a value from the cache
Check if a dict is in the cache

Get all kandi verified functions for this library.

rmnist Key Features

No Key Features are available at this moment for rmnist.

rmnist Examples and Code Snippets

No Code Snippets are available at this moment for rmnist.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install rmnist

You can download it from GitHub.
You can use rmnist 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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