baidu-remote-sensing | 百度遥感比赛,前百分之一的实验方案
kandi X-RAY | baidu-remote-sensing Summary
kandi X-RAY | baidu-remote-sensing Summary
baidu-remote-sensing is a Python library. baidu-remote-sensing has no bugs, it has no vulnerabilities and it has low support. However baidu-remote-sensing build file is not available. You can download it from GitHub.
百度遥感比赛,前百分之一的实验方案
百度遥感比赛,前百分之一的实验方案
Support
Quality
Security
License
Reuse
Support
baidu-remote-sensing has a low active ecosystem.
It has 13 star(s) with 12 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
baidu-remote-sensing has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of baidu-remote-sensing is current.
Quality
baidu-remote-sensing has 0 bugs and 0 code smells.
Security
baidu-remote-sensing has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
baidu-remote-sensing code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
baidu-remote-sensing 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.
Reuse
baidu-remote-sensing releases are not available. You will need to build from source code and install.
baidu-remote-sensing has no build file. You will be need to create the build yourself to build the component from source.
baidu-remote-sensing saves you 2897 person hours of effort in developing the same functionality from scratch.
It has 6258 lines of code, 292 functions and 42 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed baidu-remote-sensing and discovered the below as its top functions. This is intended to give you an instant insight into baidu-remote-sensing implemented functionality, and help decide if they suit your requirements.
- This function calculates the result of a model
- Creates a pnasnet5 model
- Constructs an OctResNet model
- Calculate the logits of the input
- Compute logits
- Train the model
- Resets the statistics
- Update the statistics
- Compute the accuracy of the target
- Compute the logits for the model
- Calculate logits for each feature
- Compute cell features
- Compute the logits of x
- Extract features
- Performs logits on input x
- Compute the logarithm
- Calculate logits
- Reads data and saves to npy array
- Convert table to numpy array
- Perform the forward transformation
- Combine cell forward
- Forward cell forward
- Adjust learning rate
- Tensor with OctResNet
- This function is used for testing
- Converts training data to numpy array
- Validate the evaluation function
- Create a layer of a layer
Get all kandi verified functions for this library.
baidu-remote-sensing Key Features
No Key Features are available at this moment for baidu-remote-sensing.
baidu-remote-sensing Examples and Code Snippets
No Code Snippets are available at this moment for baidu-remote-sensing.
Community Discussions
No Community Discussions are available at this moment for baidu-remote-sensing.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install baidu-remote-sensing
You can download it from GitHub.
You can use baidu-remote-sensing 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 baidu-remote-sensing 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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