XCloud | Official Code for Paper XCloud : Design | Machine Learning library

 by   lucasxlu JavaScript Version: Current License: MIT

kandi X-RAY | XCloud Summary

kandi X-RAY | XCloud Summary

XCloud is a JavaScript library typically used in Telecommunications, Media, Media, Entertainment, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. XCloud has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

XCloud is an open-source AI platform which provides common AI services (computer vision, NLP, data mining and etc.) with RESTful APIs. It allows you to serve your machine learning models with few lines of code. The platform is developed and maintained by @LucasX based on Django and PyTorch. The codes of building RESTful APIs are listed in cv/nlp/dm/data module, research branch holds the training/testing scripts and several research idea prototype implementations.
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              XCloud has a low active ecosystem.
              It has 48 star(s) with 19 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 3 have been closed. On average issues are closed in 12 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of XCloud is current.

            kandi-Quality Quality

              XCloud has 0 bugs and 0 code smells.

            kandi-Security Security

              XCloud has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              XCloud code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              XCloud is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              XCloud releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              XCloud saves you 21677 person hours of effort in developing the same functionality from scratch.
              It has 42544 lines of code, 511 functions and 238 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            XCloud Key Features

            No Key Features are available at this moment for XCloud.

            XCloud Examples and Code Snippets

            No Code Snippets are available at this moment for XCloud.

            Community Discussions

            QUESTION

            Terraform Error while Passing output variable from one module to another
            Asked 2020-Dec-22 at 10:39

            I am using two modules vpc and lb and passing an output varibale in vcp module to lb module as below in the code. But I am getting following error -

            ...

            ANSWER

            Answered 2020-Dec-22 at 10:39

            Since you are using count in your module, you should refer to individual instances of the module, even if you have only one. So in your case, it would be:

            Source https://stackoverflow.com/questions/65406986

            QUESTION

            Drawbacks of creating base class for JPA Entity(domain type object) in a shared library
            Asked 2020-Jan-15 at 08:47

            I'm an experienced .net developer recently shifted to java development. I'm working on micro-service using spring boot/cloud. For my work I have created a common jar(shared library) where I'm placing those functionalities and helper methods which are to be reused across different micro-services.

            I'm calling the shared library in my each spring boot micro-service application by adding it their pom file.This is all working great and I'm able to use the shared library in my every micro-service as intended.

            Now.. I'm using JPA for saving data and hence each micro-service application requires to have an entity class which is using code first way to create persistence in their respective data store.

            Since there are few common fields required in most micro-services I thought the idea of creating a base Entity class in my common jar(shared library) and make entities in my micro-services inherit the base Entity class.

            This is the base Entity class that I created in my shared library

            ...

            ANSWER

            Answered 2020-Jan-15 at 08:47

            I don't see any problems since your entity does not have any fields that can navigate to other entities (i.e does not have field that is mapped with @OneToMany / @ManyToOne) , so all of its fields are mapped to the same DB table and there is no reasons it will lead to separate database calls to load an entity.

            spring-data-jpa also provides a base entity AbstractAuditable which developer can choose to use it rather than create by their own (though using it will increase the coupling of the entity to Spring Data) , so making the base entity as a separate shared JAR and let other projects to use is very common. It is even a good practise if your company have some rules that all entities must have certain set of fields like id , createdBy etc. mainly because it can make the codes DRY as said by you.

            Source https://stackoverflow.com/questions/59747099

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install XCloud

            As suggested in Django doc, DO NOT USE THIS SERVER IN A PRODUCTION SETTING, it may bring you potential security risk and performance problems. Henceforth, you'd better upgrade Django built-in server to a stronger one, such as Nginx. Note: this tutorial gives more details about Nginx and Django. Note: suppose you start 4 deep learning services with ports from 8001 to 8004, on CUDA_VISIBLE_DEVICES from 0 to 3, respectively. The above configuration indicates that all concurrent requests will be proxied to YOUR_MACHINE_IP:8008/cv/. So it's easy to solve concurrent requests from clients. In the near future, I will explore more methods in Machine Leanring in Production fields, and share related articles on ML_IN_PRODUCTION.md or my blog.
            install Gunicorn: pip3 install gunicorn
            run your server (with multi threads support): gunicorn XCloud.wsgi -b YOUR_MACHINE_IP:8001 --threads THREADS_NUM --timeout=200
            open your browser and visit welcome page: http://YOUR_MACHINE_IP:8001/index
            install uWSGI: pip3 install uwsgi. Try conda install -c conda-forge uwsgi if you prefer Anaconda
            start your uWSGI server: uwsgi --http :8001 --chdir /data/lucasxu/Projects/XCloud -w XCloud.wsgi
            you can specify more configuration in uwsgi.ini, and start uWSGI by: uwsgi --ini uwsgi.ini
            open your browser and visit welcome page: http://YOUR_MACHINE_IP:8001/index
            install Nginx: sudo apt-get install nginx
            install uwsgi: sudo pip3 install uwsgi
            start Nginx: sudo /etc/init.d/nginx start. Type ps -ef |grep -i nginx to see whether Nginx has started successfully
            open your browser and visit YOUR_IP_ADDRESS:80, if you see nginx welcome page, then you have installed Nginx successfully
            restart Nginx: sudo /etc/init.d/nginx restart
            config your Nginx: sudo vim /etc/nginx/nginx.conf as follows: user nginx; worker_processes 1; error_log /var/log/nginx/error.log warn; pid /var/run/nginx.pid; events { use epoll; worker_connections 1024; } http { include /etc/nginx/mime.types; default_type application/octet-stream; log_format main '$remote_addr - $remote_user [$time_local] "$request" ' '$status $body_bytes_sent "$http_referer" ' '"$http_user_agent" "$http_x_forwarded_for"'; access_log /var/log/nginx/access.log main; sendfile on; #tcp_nopush on; keepalive_timeout 65; gzip on; include /etc/nginx/conf.d/*.conf; upstream backend { server YOUR_MACHINE_IP:8001; server YOUR_MACHINE_IP:8002; server YOUR_MACHINE_IP:8003; server YOUR_MACHINE_IP:8004; } server { listen 8008; server_name YOUR_MACHINE_IP; access_log /var/log/nginx/access.log main; charset utf-8; gzip on; gzip_types text/plain application/x-javascript text/css text/javascript application/x-httpd-php application/json text/json image/jpeg image/gif image/png application/octet-stream; # set project uwsgi path location /cv/ { include uwsgi_params; # import an Nginx module to communicate with uWSGI uwsgi_connect_timeout 30; uwsgi_pass unix:/opt/project_teacher/script/uwsgi.sock; # set uwsgi's sock file, so all dynamical requests will be sent to uwsgi_pass proxy_connect_timeout 300; proxy_buffering off; proxy_pass http://backend; } location /static/ { alias /data/lucasxu/Projects/XCloud/cv/static/; index index.html index.htm; } } }
            restart Nginx: sudo /etc/init.d/nginx restart, then enjoy it!

            Support

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            https://github.com/lucasxlu/XCloud.git

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            gh repo clone lucasxlu/XCloud

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            git@github.com:lucasxlu/XCloud.git

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