DII-Challenge | The early identification of sepsis cases
kandi X-RAY | DII-Challenge Summary
kandi X-RAY | DII-Challenge Summary
DII-Challenge is a Python library. DII-Challenge has no bugs, it has no vulnerabilities and it has low support. However DII-Challenge build file is not available. You can download it from GitHub.
The early identification of sepsis cases.
The early identification of sepsis cases.
Support
Quality
Security
License
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Support
DII-Challenge has a low active ecosystem.
It has 5 star(s) with 3 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
DII-Challenge has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of DII-Challenge is current.
Quality
DII-Challenge has no bugs reported.
Security
DII-Challenge has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
DII-Challenge does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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DII-Challenge releases are not available. You will need to build from source code and install.
DII-Challenge 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.
Top functions reviewed by kandi - BETA
kandi has reviewed DII-Challenge and discovered the below as its top functions. This is intended to give you an instant insight into DII-Challenge implemented functionality, and help decide if they suit your requirements.
- Forward computation
- Forward 1 - layer regression
- Performs pooling
- Compute the LSTM
- Generate bbox label
- Add a line to bbox
- Convert an image to a numpy array
- Convert numpy array to Image
- Sort a json file
- Read the contents of a json file
- Write content to file
- Sort a dictionary
- Write content to file
- Write a message to the terminal
- Compute the loss of the given font
- Performs soft mining
- Set CUDA_DEVICES
- Return the number of available devices
- Add Bbox to image
- Add text to an image
- Generate a dictionary of patient_time
- Generate the dictionary for the patient label
- Generate a list of feature names
- Test the label for the given image
- Generate the patient master dictionary
Get all kandi verified functions for this library.
DII-Challenge Key Features
No Key Features are available at this moment for DII-Challenge.
DII-Challenge Examples and Code Snippets
No Code Snippets are available at this moment for DII-Challenge.
Community Discussions
No Community Discussions are available at this moment for DII-Challenge.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install DII-Challenge
You can download it from GitHub.
You can use DII-Challenge 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.
You can use DII-Challenge 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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