SSAH | Supervised Adversarial Hashing Networks for Cross-Modal | Machine Learning library
kandi X-RAY | SSAH Summary
kandi X-RAY | SSAH Summary
SSAH is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. SSAH has no bugs, it has no vulnerabilities and it has low support. However SSAH build file is not available. You can download it from GitHub.
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval(CVPR2018)
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval(CVPR2018)
Support
Quality
Security
License
Reuse
Support
SSAH has a low active ecosystem.
It has 144 star(s) with 42 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 11 open issues and 1 have been closed. On average issues are closed in 31 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of SSAH is current.
Quality
SSAH has 0 bugs and 212 code smells.
Security
SSAH has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
SSAH code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
SSAH 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
SSAH releases are not available. You will need to build from source code and install.
SSAH 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.
SSAH saves you 355 person hours of effort in developing the same functionality from scratch.
It has 849 lines of code, 41 functions and 7 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed SSAH and discovered the below as its top functions. This is intended to give you an instant insight into SSAH implemented functionality, and help decide if they suit your requirements.
- Image network
- Convolution layer
- 2D convolution layer
- Full convolution layer
- Max pooling layer
- R Compute the relu
- Return the sigmoid of x
- T tanh
- Construct tf txt net
- Multiplies Tensor Ttxt
- Interpolate a block of text
- Create a labnet
- Disnet layer
Get all kandi verified functions for this library.
SSAH Key Features
No Key Features are available at this moment for SSAH.
SSAH Examples and Code Snippets
No Code Snippets are available at this moment for SSAH.
Community Discussions
Trending Discussions on SSAH
QUESTION
How many elements are the same in two lists, which have duplicate elements
Asked 2021-May-21 at 07:46
I try to find the number of elements that are the same in two lists. There are duplicate elements in two lists.
What I want:
...ANSWER
Answered 2021-May-19 at 05:35If you just want to find the number of common elements between two lists which have repeated items, you can simply do this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install SSAH
You can download it from GitHub.
You can use SSAH 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 SSAH 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 .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
