AI_Project | AI_Project

by linbin524 C# Version: V1.0.0.1 License: No License

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | AI_Project Summary

AI_Project is a C# library. AI_Project has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

AI_Project

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Quality

Security

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Support

AI_Project has a low active ecosystem.

It has 31 star(s) with 22 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 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 AI_Project is V1.0.0.1

Quality

AI_Project has 0 bugs and 0 code smells.

Security

AI_Project has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

AI_Project code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

AI_Project 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

AI_Project releases are available to install and integrate.

AI_Project saves you 123640 person hours of effort in developing the same functionality from scratch.

It has 130512 lines of code, 0 functions and 98 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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AI_Project Key Features

No Key Features are available at this moment for AI_Project.

AI_Project Examples and Code Snippets

No Code Snippets are available at this moment for AI_Project.

Community Discussions

Trending Discussions on AI_Project

Does PySpark code run in JVM or Python subprocess?

tensorboard - tensorflow.python.framework.errors_impl.NotFoundError:

How to use AlexNet with one channel

Python ModuleNotFoundError of own modules (external anaconda)

def in python not working when called

QUESTION

Does PySpark code run in JVM or Python subprocess?

Asked 2020-May-15 at 11:48

I want to understand what is happening under the hood when I run the following script named t1.py with python3 t1.py. Specifically, I have the following questions:

What kind of code is submitted to the spark worker node? Is it the python code or a translated equivalent Java code submitted to the spark worker node?
Is the add operation in the reduce treated as UDF and thus run in a python subprocess on the worker node?
If the add operation run in a python subprocess on the worker node, does the worker JVM communicates with the python subprocess for each number in a partition being added? If this is the case, it means a lot of overhead.

...

ANSWER

Answered 2020-May-15 at 11:48

In PySpark, Python and JVM codes live in separate OS processes. PySpark uses Py4J, which is a framework that facilitates interoperation between the two languages, to exchange data between the Python and the JVM processes.

When you launch a PySpark job, it starts as a Python process, which then spawns a JVM instance and runs some PySpark specific code in it. It then instantiates a Spark session in that JVM, which becomes the driver program that Spark sees. That driver program connects to the Spark master or spawns an in-proc one, depending on how the session is configured.

When you create RDDs or Dataframes, those are stored in the memory of the Spark cluster just as RDDs and Dataframes created by Scala or Java applications. Transformations and actions on them work just as they do in JVM, with one notable difference: anything, which involves passing the data through Python code, runs outside the JVM. So, if you create a Dataframe, and do something like:

Source https://stackoverflow.com/questions/61816236

QUESTION

tensorboard - tensorflow.python.framework.errors_impl.NotFoundError:

Asked 2019-Jul-02 at 11:33

I just installed my new environment based on tf.__version__ = 1.14.

Here is how I configure my tensorboard:

...

ANSWER

Answered 2019-Jul-02 at 11:33

Finally solved.

It looks like it is a Windows specific bug in Tensorflow. Defining the log directory as following is solving the problem..

Source https://stackoverflow.com/questions/56851298

QUESTION

How to use AlexNet with one channel

Asked 2019-Jan-02 at 19:09

I am new to pytorch and had a problem with channels in AlexNet. I am using it for a ‘gta san andreas self driving car’ project, I collected the dataset from a black and white image that has one channel and trying to train AlexNet using the script:

...

ANSWER

Answered 2019-Jan-02 at 06:24

Your error is not related to using gray-scale images instead of RGB. Your error is about the spatial dimensions of the input: while "forwarding" an input image through the net, its size (in feature space) became zero - this is the error you see. You can use this nice guide to see what happens to the output size of each layer (conv/pooling) as a function of kernel size, stride and padding.
Alexnet expects its input images to be 224 by 224 pixels - make sure your inputs are of the same size.

Other things you overlooked:

You are using Alexnet architecture, but you are initializing it to random weights instead of using pretrained weights (trained on imagenet). To get a trained copy of alexnet you'll need to instantiate the net like this

Source https://stackoverflow.com/questions/53999587

QUESTION

Python ModuleNotFoundError of own modules (external anaconda)

Asked 2018-Nov-07 at 15:19

So I have the infamous ModuleNotFoundError, and for a couple of hours I can't find the solution. I know that my project works in Pycharm but I wanted to set it up in Visual Studio Code.

the error

...

ANSWER

Answered 2018-Nov-07 at 14:55

if you want to import Agent in Main.py just use

Source https://stackoverflow.com/questions/53191708

QUESTION

def in python not working when called

Asked 2017-May-15 at 15:22

import pyttsx 
import random
import os  
import serial
import webbrowser

while True:
    def portport():
        ser = serial.Serial('COM3',9600) 
        raw_data = ser.read(7)
        msg = str(raw_data[3:6])
        print msg
        ser.close()

    engine = pyttsx.init()
    portport()
    if(msg == 'mof'):
            engine.say('Are you sure?')   
            engine.runAndWait()          
            portport()
            if(msg == 'yes'):
                engine.say('Chrome has now closed')
                os.system("TASKKILL /F /IM chrome.exe")
                engine.runAndWait()

            elif(msg == 'noo'):
                engine = pyttsx.init()
                engine.say('Are you kidding me?')
                engine.runAndWait()

    if(msg == 'hi_'):
            greeting()
    if(msg == 'bye'):
            leaving()
    if(msg == 'who'):
            engine = pyttsx.init()
            engine.say('Hi there')
            engine.runAndWait()

    if(msg == 'lik'):
           engine = pyttsx.init()
           engine.say('Ofcourse I do!')
           engine.runAndWait()

...

ANSWER

Answered 2017-May-15 at 12:34

msg is only defined within the portport function. If you want to use it outside, you need to return it from there, and assign it to a local variable.

Note, you should not have your function definition within the while loop.

Source https://stackoverflow.com/questions/43979637

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

Vulnerabilities

No vulnerabilities reported

Install AI_Project

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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