Mozi | Deep Learning Package base on Theano | Machine Learning library

 by   hycis Python Version: 2.0.3 License: MIT

kandi X-RAY | Mozi Summary

kandi X-RAY | Mozi Summary

Mozi is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. Mozi has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install Mozi' or download it from GitHub, PyPI.

Mozi is based on Theano with a clean and sharp design, the design philosophy of Mozi.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              Mozi has a low active ecosystem.
              It has 102 star(s) with 20 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 3 have been closed. On average issues are closed in 139 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Mozi is 2.0.3

            kandi-Quality Quality

              Mozi has 0 bugs and 126 code smells.

            kandi-Security Security

              Mozi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Mozi code analysis shows 0 unresolved vulnerabilities.
              There are 7 security hotspots that need review.

            kandi-License License

              Mozi 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

              Mozi releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              Mozi saves you 1269 person hours of effort in developing the same functionality from scratch.
              It has 2851 lines of code, 282 functions and 48 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Mozi and discovered the below as its top functions. This is intended to give you an instant insight into Mozi implemented functionality, and help decide if they suit your requirements.
            • Train the model
            • Run the learning loop
            • Returns the amount of memory in bytes
            • Returns a string describing the memory usage
            • Train fprop
            • Get forward output
            • Get the forward output
            • Load the next block
            • Opens the input file
            • Set the training and validation set
            • Calculate the gradient of the model
            • Calculate the decay function
            • Update the model
            • Test fprop
            • Return the current stack size
            • Convert a GPU model to CPU model
            • Prints all stored records
            • Set the features
            • Set environment variables
            • Train the fprop
            • Download a file from a remote location
            • Download a file from an origin
            • Compute F1 - recall F1 recall
            Get all kandi verified functions for this library.

            Mozi Key Features

            No Key Features are available at this moment for Mozi.

            Mozi Examples and Code Snippets

            Python : File with one JSON obj on each line
            Pythondot img1Lines of Code : 5dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            with open("page.txt") as f:
                for line in f:
                    obj = json.loads(line.split(" ", 1)[1])
                    print(obj["visits"])
            
            Python : File with one JSON obj on each line
            Pythondot img2Lines of Code : 15dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            g = open('monthlyLogShort.txt', 'w')
            with open('page.txt','r') as f:
                    data = f.readlines()
                    countp = 0
                    page = 0
                    while countp < 10:
                            parse = json.loads(data[page])  # load the JSON dict
                  

            Community Discussions

            QUESTION

            How to get exact single match in elastic search
            Asked 2020-Nov-20 at 02:32

            Documents in ES look like this

            ...

            ANSWER

            Answered 2020-Nov-20 at 02:32

            You need to add .keyword to the indicator field. This uses the keyword analyzer instead of the standard analyzer (notice the ".keyword" after indicator field). Try out this below query -

            Source https://stackoverflow.com/questions/64922836

            QUESTION

            413 Request Entity Too Large - Regular Fix Not Working
            Asked 2020-Sep-08 at 22:38

            I'm deploying a Django application online using AWS Elastic Beanstalk. It worked fine for a while, but some change is causing the application to throw a '413 Request Entity Too Large nginx/1.18.0' error when I try to upload a file.

            Here are my logs:

            stdout log:

            ...

            ANSWER

            Answered 2020-Sep-08 at 22:38

            The nginx setting you are trying to use (/etc/nginx/conf.d/proxy.conf) is for Amazon Linux 1.

            Since you are probably using Amazon Linux 2 you should be using different files for customizing nginx. For AL2, the nginx settings should be in .platform/nginx/conf.d/, not in .ebextentions as shown in the docs.

            Therefore, you could have the following .platform/nginx/conf.d/myconfig.conf with content:

            Source https://stackoverflow.com/questions/63802165

            QUESTION

            Started my own node.js web server project - what are these GET requests?
            Asked 2020-Aug-02 at 00:04

            I recently set up a home web server to run my node.js & express web app (using a Raspberry Pi, basically to figure out how to do it).

            Not long (hours) after activating it on my domain, I logged the following GET requests:

            ...

            ANSWER

            Answered 2020-Aug-02 at 00:04

            You are getting attacked... But you're fine, since those attacks don't affect Node.JS. https://forum.codeigniter.com/thread-75932.html

            Those attacks were probably just automated ones (since they were just throwing random exploits at your webserver), and the attacker was probably a bot, programmed to throw common exploits at webservers.

            About having good security though... That is a hard thing to get right. I suggest you start here at the Express docs, and then just go online and see what results come up.

            Source https://stackoverflow.com/questions/63210700

            QUESTION

            npm install error in vue
            Asked 2017-Dec-14 at 09:42

            Just in following along with a tutorial, That's the version information.

            ...

            ANSWER

            Answered 2017-Dec-14 at 06:36

            Looks like one of your package.json files corrupted:

            Source https://stackoverflow.com/questions/47806625

            QUESTION

            Python : File with one JSON obj on each line
            Asked 2017-Jan-31 at 06:44

            Greetings from tokyo.

            Let me explain you what i'm trying to achieve with python 2.7 :

            I have a file with a JSON Dict on each line, here is a capture :

            ...

            ANSWER

            Answered 2017-Jan-30 at 16:06

            The file as a whole is not a valid JSON, but you can parse it line by line:

            Source https://stackoverflow.com/questions/41940228

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

            Vulnerabilities

            No vulnerabilities reported

            Install Mozi

            First you need to install [theano](https://github.com/Theano/Theano). You can simply install mozi via pip for latest stable version. or install via pip for bleeding edge version. or simply clone and add to PYTHONPATH. in order for the install to persist via export PYTHONPATH. Add PYTHONPATH=/path/to/TensorGraph:$PYTHONPATH to your .bashrc for linux or .bash_profile for mac. While this method works, you will have to ensure that all the dependencies in [setup.py](setup.py) are installed.

            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:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            Install
          • PyPI

            pip install mozi

          • CLONE
          • HTTPS

            https://github.com/hycis/Mozi.git

          • CLI

            gh repo clone hycis/Mozi

          • sshUrl

            git@github.com:hycis/Mozi.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link