mobula | Flexible Deep Learning | Machine Learning library

by wkcn Python Version: 1.0.1 License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | mobula Summary

mobula is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. mobula 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 mobula' or download it from GitHub, PyPI.

Mobula is a light deep learning framework on python. It's an efficent Python-DNN Implementation used numpy mainly, and it's aimed to learn how a neural network runs :-).

Support

Quality

Security

License

Reuse

Support

mobula has a low active ecosystem.

It has 39 star(s) with 6 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 8 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mobula is 1.0.1

Quality

mobula has 0 bugs and 0 code smells.

Security

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

mobula code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mobula 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

mobula 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.

mobula saves you 1967 person hours of effort in developing the same functionality from scratch.

It has 4328 lines of code, 470 functions and 102 files.

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

Top functions reviewed by kandi - BETA

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

Performs the forward computation
Convert an image array to colormap
Reshape the image
Random variates
Setter for datas
Set the output number
Reshape data
Gradient of the backward computation
Print timing information
Create a new layer
Load a scope from a file
Save the current scope to a file
Set the topo
Forward the model
Generator for all input models
Check if lst is a layer in lst
Load the network from file
Set the batch size
Perform the forward computation
Create an op2 layer
Backward computation
Test the test layer
Forward computation
Perform forward computation
Perform backward computation
Backward transformation

Get all kandi verified functions for this library.

mobula Key Features

No Key Features are available at this moment for mobula.

mobula Examples and Code Snippets

Mobula,Quick Start

Python

Lines of Code : 33

License : Permissive (MIT)

Copy


import mobula
import mobula.layers as L
import mobula.solvers as S

[...]

data, label = L.Data([X, labels], "data", batch_size = 100)
conv1 = L.Conv(data, dim_out = 20, kernel = 5)
pool1 = L.Pool(conv1, pool = L.Pool.MAX, kernel = 2, stride = 2)
re

Mobula,How to install it?

Python

Lines of Code : 2

License : Permissive (MIT)

Copy

git clone https://github.com/wkcn/mobula --recursive

pip install mobula

Community Discussions

Trending Discussions on mobula

How to generate a suffix of increasing number for the repeated values in a colum?

QUESTION

How to generate a suffix of increasing number for the repeated values in a colum?

Asked 2020-May-08 at 07:34

So I have this column consisting of species names:

...

ANSWER

Answered 2020-May-08 at 07:34

This will give you the expected output:

Source https://stackoverflow.com/questions/61663929

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

Vulnerabilities

No vulnerabilities reported

Install mobula

Git:
pip:
The detail is in Performance Analysis.

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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