MyNN | Pure Python/NumPy neural network library extending MyGrad | Machine Learning library

by davidmascharka Python Version: 0.9.4 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | MyNN Summary

MyNN is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Numpy applications. MyNN 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 MyNN' or download it from GitHub, PyPI.

A pure-Python neural network library based on the amazing MyGrad. mynn was created as an extension to mygrad for rapid prototyping of neural networks with minimal dependencies, a clean code base with excellent documentation, and as a learning tool.

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Quality

Security

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Support

MyNN has a low active ecosystem.

It has 20 star(s) with 1 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 12 open issues and 21 have been closed. On average issues are closed in 142 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of MyNN is 0.9.4

Quality

MyNN has 0 bugs and 0 code smells.

Security

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

MyNN code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MyNN 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

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

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.

MyNN saves you 989 person hours of effort in developing the same functionality from scratch.

It has 2197 lines of code, 106 functions and 31 files.

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

Top functions reviewed by kandi - BETA

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

Returns a dict of command - line arguments
Create a ConfigParser object from a root
Return the project root directory
Extract version information from VCS
Create the versioneer config file
Install vcs
Extract the version information
Scans the given setup py py file

Get all kandi verified functions for this library.

MyNN Key Features

No Key Features are available at this moment for MyNN.

MyNN Examples and Code Snippets

No Code Snippets are available at this moment for MyNN.

Community Discussions

Trending Discussions on MyNN

How can I load a model in pytorch without having to remember the parameters used?

Rust ndarray - Randomly fill ndarray wish shape I specify

QUESTION

How can I load a model in pytorch without having to remember the parameters used?

Asked 2021-Nov-09 at 21:23

I am training a model in pytorch for which I have made a class like so:

...

ANSWER

Answered 2021-Nov-09 at 21:23

Indeed serializing the whole Python is quite a drastic move. Instead, you can always add user-defined items in the saved file: you can save the model's state along with its class parameters. Something like this would work:

First save your arguments in the instance such that we can serialize them when saving the model:

Source https://stackoverflow.com/questions/69903636

QUESTION

Rust ndarray - Randomly fill ndarray wish shape I specify

Asked 2021-Jun-26 at 23:01

I need to make a 2d array with the shape I specify and have it randomly filled.

I tried the code below, but it yells at me

...

ANSWER

Answered 2021-Jun-26 at 23:01

The types that can be converted into Dimensions and therefore used as parameters expecting Into are limited to Ixs which is an alias for usize. See IntoDimension:

Either convert x and y to usize:

Source https://stackoverflow.com/questions/68146620

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

Vulnerabilities

No vulnerabilities reported

Install MyNN

If you already have MyGrad installed, clone MyNN, navigate to the resulting directory, and run. If you don't have MyGrad installed, then you can run. Then clone and install this repository.
Please see the example notebooks for a gentle introduction.

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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