megastep | megastep | Reinforcement Learning library

by andyljones Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | megastep Summary

megastep is a Python library typically used in Artificial Intelligence, Reinforcement Learning, Deep Learning, Pytorch, Tensorflow, Unity applications. megastep has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

megastep helps you build 1-million FPS reinforcement learning environments with a single consumer GPU.

Support

Quality

Security

License

Reuse

Support

megastep has a low active ecosystem.

It has 79 star(s) with 8 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of megastep is current.

Quality

megastep has no bugs reported.

Security

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

License

megastep 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

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

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

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

Execute a function in parallel
Submit a function as a future
Format an object as a string
Context manager for creating a variable pool
Factory function for arrays
Return the value at x
Return the value of the attribute with the given key
Return a list of randomly generated geometries
Ask user for confirmation
Convert a NumPy array to torch
Define a context manager
Test Packer
Generate a random empty set of points
Wrapper for eager record
Compute the average performance of a device
Returns an arrdict
R Compute the forward objective function
Define delayed match coins
Generate a random chain
Compute the indices of the given coordinates
Generate an example
Perform a forward pass on inputs
Perform forward attention
Train the model
Displays the scene
Produce scenes from a list of geometries

Get all kandi verified functions for this library.

megastep Key Features

No Key Features are available at this moment for megastep.

megastep Examples and Code Snippets

No Code Snippets are available at this moment for megastep.

Community Discussions

Trending Discussions on megastep

Swift: Sound-Output & Microphone-Input | using AudioKit |

QUESTION

Swift: Sound-Output & Microphone-Input | using AudioKit |

Asked 2018-Jan-06 at 23:53

I'm using >Xcode Version 9.2<
I'm using >AudioKit Version 4.0.4<

I've written some code you can find below that should be able to

play a specific sound (frequency: 500.0HZ)
"listen" to the microphone input and calculating the frequency in real time

If I'm calling playSound() or receiveSound() separated everything looks fine and is really working as I expected. But calling playSound() and receiveSound() afterwards? Exactly there I got big issues.

This is how I'd like to get the code working:

...

ANSWER

Answered 2018-Jan-06 at 23:53

I believe the lionshare of your problems are due to local declaration of AKNodes within the functions that use them:

Source https://stackoverflow.com/questions/48130457

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

Vulnerabilities

No vulnerabilities reported

Install megastep

You can download it from GitHub.
You can use megastep like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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: