i2o | Trigger sound effects from a web hook | Audio Utils library

by Avocarrot Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | i2o Summary

i2o is a Python library typically used in Audio, Audio Utils, React applications. i2o has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However i2o build file is not available. You can download it from GitHub.

Trigger sound effects from a web hook. You can play sounds or listen to a message using text to speech.

Support

Quality

Security

License

Reuse

Support

i2o has a low active ecosystem.

It has 70 star(s) with 26 fork(s). There are 27 watchers for this library.

It had no major release in the last 6 months.

i2o has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of i2o is current.

Quality

i2o has 0 bugs and 0 code smells.

Security

i2o has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

i2o code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

i2o is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

i2o releases are not available. You will need to build from source code and install.

i2o has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

It has 170 lines of code, 10 functions and 15 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed i2o and discovered the below as its top functions. This is intended to give you an instant insight into i2o implemented functionality, and help decide if they suit your requirements.

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i2o Key Features

No Key Features are available at this moment for i2o.

i2o Examples and Code Snippets

No Code Snippets are available at this moment for i2o.

Community Discussions

Trending Discussions on i2o

Problem with Pytorch gradient of a non-sequential model

PyTorch: "one of the variables needed for gradient computation has been modified by an inplace operation"

Python re-write jupyter notebook to python script problem

QUESTION

Problem with Pytorch gradient of a non-sequential model

Asked 2022-Jan-18 at 02:28

I have troubles reproducing this Pytorch tutorial.

The model they introduce is :

...

ANSWER

Answered 2022-Jan-18 at 02:28

self.i2h has no gradient because it's not used in the first step of your model. When you back propagate, your model only uses self.i2o in the first stage, so self.i2h has no effect on the output. However, when you get to the second step, it utilises a hidden which has been calculated using self.i2h, so therefore there is a traceable gradient through that layer.

Source https://stackoverflow.com/questions/70748727

QUESTION

PyTorch: "one of the variables needed for gradient computation has been modified by an inplace operation"

Asked 2021-Sep-07 at 18:17

I'm training a PyTorch RNN on a text file of song lyrics to predict the next character given a character.

Here's how my RNN is defined:

...

ANSWER

Answered 2021-Sep-07 at 18:17

The issue is you are accumulating your loss values (and at the same time, the computation graphs associated attached to them) on variable loss, here:

Source https://stackoverflow.com/questions/69092258

QUESTION

Python re-write jupyter notebook to python script problem

Asked 2021-Jan-30 at 03:13

I have a very simple RNN model which I can execute on Jupyter notebook without any problem, now I want to embed this model in my Django project, so I downloaded the .ipynb file then saved it as .py file, then I just put it in my Django project.

However, the first problem is VSCode says I have unresolved import 'MLutils, the MLutils is my utility file in the same folder.

The second problem is if I just run this file, I'll get this error RuntimeError: cannot perform reduction function argmax on a tensor with no elements because the operation does not have an identity but if I use the Run Cell Above button of the VSCode, I'll get the correct result. The code I want to run is this, called MLTrain.py

...

ANSWER

Answered 2021-Jan-30 at 03:13

I figured out. If I use this file structure MLModel

data
- categories
- - Dataset.txt
MLTrain.py
MLutils.py For File path, I should use MLModel\data\categories\*.txt in .py scripts.

But I should use data\categories\*.txt in jupyter notebook.

Anyway pay attention to file path when you want to re-write from .ipynb to .py

----From a young man just lost his whole night time.

Source https://stackoverflow.com/questions/65963949

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

Vulnerabilities

No vulnerabilities reported

Install i2o

Fork the project
Install dependencies using pip install -r pip-reqs.txt
Start the web server using python manage.py runserver
Start Celery worker with celery -A i2o worker -l info (you should also run RabbitMQ or change the broker settings in the settings.py)
Have fun!