Dee.py | Deep neural network for python in 200 LOCs | Machine Learning library

by AliFlux Python Version: Current License: MIT

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

kandi X-RAY | Dee.py Summary

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

Deep neural network for python in 200 LOCs

Support

Quality

Security

License

Reuse

Support

Dee.py has a low active ecosystem.

It has 23 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Dee.py has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Dee.py is current.

Quality

Dee.py has 0 bugs and 0 code smells.

Security

Dee.py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Dee.py code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Dee.py 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

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

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

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

Dee.py saves you 90 person hours of effort in developing the same functionality from scratch.

It has 231 lines of code, 12 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

Train the model
Print progress bar
Splits an iterable into batches
Visualize the cube
Visualize a deede
Plot the image
Plot a 2D plot of the given dee
Plot the loss
Plots the loss of the training
Predict the probability of each sample
Calculate the path along the plane

Get all kandi verified functions for this library.

Dee.py Key Features

No Key Features are available at this moment for Dee.py.

Dee.py Examples and Code Snippets

No Code Snippets are available at this moment for Dee.py.

Community Discussions

Trending Discussions on Dee.py

Positional Argument error with pydicom.dcmread

QUESTION

Positional Argument error with pydicom.dcmread

Asked 2020-Dec-01 at 00:16

I have just started playing around with the pydicom module. I've just tried to implement this example in PyCharm : https://pydicom.github.io/pydicom/dev/old/viewing_images.html

However, for some reason I keep getting this error: TypeError: new() missing 1 required positional argument: 'is_raw'.

I assume one of the functions dcmread is missing an output, but that is a bit weird to me since I am also using the same file used in the example. I've also tried using the good old IDLE but same problem.

Any help would be really appreciated!

code:

...

ANSWER

Answered 2020-Dec-01 at 00:16

I think the problem is that default arguments for NamedTuple were only added in Python 3.6.1. If you're using 3.6.0 then I'd upgrade to a newer Python release if possible.

Source https://stackoverflow.com/questions/65070637

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

Vulnerabilities

No vulnerabilities reported

Install Dee.py

You can download it from GitHub.
You can use Dee.py 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.