medicalAI | Medical-AI is a AI framework specifically for Medical | Machine Learning library

by aibharata Python Version: 1.3.1 License: Apache-2.0

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

kandi X-RAY | medicalAI Summary

medicalAI is a Python library typically used in Healthcare, Pharma, Life Sciences, Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. medicalAI 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 medicalAI' or download it from GitHub, PyPI.

Medical-AI is a AI framework for rapid prototyping of AI for Medical Applications.

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Quality

Security

License

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Support

medicalAI has a low active ecosystem.

It has 10 star(s) with 8 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 131 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of medicalAI is 1.3.1

Quality

medicalAI has no bugs reported.

Security

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

License

medicalAI is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

medicalAI 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.

Top functions reviewed by kandi - BETA

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

Train and save the model
Summary of the model
Check if model exists
Creates a mobileNetV2
Inception V3
Creates a model manager for the given model
Return a network instance
Generates an evaluation report
Process single image
Process an image
Predict the model
Calculate accuracy between expected and predicted predictions
Compute the specificity of expected and preds
Calculate the NPV
Calculate the probability of true and false positives
Compute the sensitivity between expected and preds
Plot the confusion matrix
Generate dataset manager
Loads the model and weights
Predict the labels of the input
Generate Keras keras model
Plot the training loss
Returns a network instance
Run the preprocessing pipeline
Construct an InceptionResNetV2 model
Create a mobileNetV2 model
Construct a DenseNet121 model
Inception V3 model
Build a VGG16 model

Get all kandi verified functions for this library.

medicalAI Key Features

No Key Features are available at this moment for medicalAI.

medicalAI Examples and Code Snippets

Django 3 admin link is coming without css

Python

Lines of Code : 9

License : Strong Copyleft (CC BY-SA 4.0)

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python manage.py collectstatic

STATIC_DIR = os.path.join(BASE_DIR, "static")
STATIC_URL = '/static/'
STATICFILES_DIRS = [
    STATIC_DIR,
]
STATIC_ROOT = '/var/www/django/medicalai/static/'

Community Discussions

Trending Discussions on medicalAI

Django 3 admin link is coming without css

QUESTION

Django 3 admin link is coming without css

Asked 2020-May-31 at 17:51

The Admin link is missing css, returns 404 when doing view source. The .conf file is

...

ANSWER

Answered 2020-May-31 at 17:51

This issue could happen because you do not have STATIC_ROOT configured when you run

Source https://stackoverflow.com/questions/62120078

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

Vulnerabilities

No vulnerabilities reported

Install medicalAI

Dependencies: Numpy, Tensorflow, Seaborn, Matplotlib, Pandas.

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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