feature_se | 特征内存搜索引擎 | Search Engine library
kandi X-RAY | feature_se Summary
kandi X-RAY | feature_se Summary
feature_se is a C++ library typically used in Database, Search Engine applications. feature_se has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
(人脸)特征内存搜索引擎(feature search engine),提供高速的人脸特征相似度比对搜索/排序,支持多线程并行搜索,适用于百万级以上人脸库的快速搜索。(C++11实现)
(人脸)特征内存搜索引擎(feature search engine),提供高速的人脸特征相似度比对搜索/排序,支持多线程并行搜索,适用于百万级以上人脸库的快速搜索。(C++11实现)
Support
Quality
Security
License
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Support
feature_se has a low active ecosystem.
It has 12 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of feature_se is current.
Quality
feature_se has no bugs reported.
Security
feature_se has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
feature_se is licensed under the BSD-2-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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feature_se releases are not available. You will need to build from source code and install.
Installation instructions are not available. Examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of feature_se
feature_se Key Features
No Key Features are available at this moment for feature_se.
feature_se Examples and Code Snippets
No Code Snippets are available at this moment for feature_se.
Community Discussions
Trending Discussions on feature_se
QUESTION
Weights of nn.ModuleList() are adjusted even if no forward propagation was applied
Asked 2019-Jul-10 at 18:11
I'm trying to use nn.ModuleList() to conduct some multitask learning, but the weights of all list elements (i.e. tasks) are adjusted when they were trained before. The following code (based on this notebook) creates a neural network object called MTL
.
ANSWER
Answered 2019-Jul-02 at 09:35You could have
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install feature_se
You can download it from GitHub.
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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