ReSAN | experimental codes for Title All | Machine Learning library
kandi X-RAY | ReSAN Summary
kandi X-RAY | ReSAN Summary
ReSAN is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. ReSAN has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However ReSAN build file is not available. You can download it from GitHub.
ReSAN
ReSAN
Support
Quality
Security
License
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Support
ReSAN has a low active ecosystem.
It has 27 star(s) with 7 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 2 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of ReSAN is current.
Quality
ReSAN has 0 bugs and 0 code smells.
Security
ReSAN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
ReSAN code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
ReSAN 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.
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ReSAN releases are not available. You will need to build from source code and install.
ReSAN 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.
ReSAN saves you 3058 person hours of effort in developing the same functionality from scratch.
It has 6590 lines of code, 394 functions and 73 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed ReSAN and discovered the below as its top functions. This is intended to give you an instant insight into ReSAN implemented functionality, and help decide if they suit your requirements.
- Train the model
- Generates a batch of samples
- Analyse a singleick regression
- Analyse SNLI_RLE
- Loadsick data
- Get evaluation result
- Update tensorflow
- Build loss tensor
- Build the loss matrix
- Generate a boolean mask with real bk
- Calculate the binary Entropy
- Load data from a pick file
- Soft softsel
- Generate mask with given rep_tensor
- Return a list of word indices from the token sequence
- Compute logits
- Softmax
- Get the last state of the RNN output
- Calculate the best node index for a given node
- This function shifts the subtree from the given parent index
- Loads the trained model
- Generate tree shift reduction
- Run a single step
- Multiple test cases
- Transform a str format to a tree
- Analyse theick regression
- Analyse SNLI_rl_rl
- Combine feature combination
Get all kandi verified functions for this library.
ReSAN Key Features
No Key Features are available at this moment for ReSAN.
ReSAN Examples and Code Snippets
No Code Snippets are available at this moment for ReSAN.
Community Discussions
Trending Discussions on ReSAN
QUESTION
Array dumps in 5.6 but not PHP 5.5.9
Asked 2017-Mar-24 at 11:16
Trying:
...ANSWER
Answered 2017-Mar-24 at 10:52It is because constant arrays were introduced in PHP 5.6. In 5.5~ it will result in a parse error.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ReSAN
You can download it from GitHub.
You can use ReSAN 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 ReSAN 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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