World-Models | Implementation of World Models https

by piojanu Python Version: Current License: MIT

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

kandi X-RAY | World-Models Summary

World-Models is a Python library. World-Models 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.

Implementation of World Models: https://worldmodels.github.io.

Support

Quality

Security

License

Reuse

Support

World-Models has a low active ecosystem.

It has 6 star(s) with 1 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

World-Models has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of World-Models is current.

Quality

World-Models has no bugs reported.

Security

World-Models has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

World-Models 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

World-Models 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.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Train VAE
Force the CPU to cpu
Return a configuration object
Create directory if needed
Train a CMA - ES model
Ask the user
Check if new best score is better
Saves the best score to a given path
Train memory
Loads a checkpoint from given path
Build RNN model
Calculate the reward
Write metrics to the writer
Update the state and action
Convert data to VE model
Log a scalar
Command line interface to Tqdm
Save the state of the training epoch
Creates an Interpreter instance
Called when the metric has changed
Record data in dataset
Test for one loss
Test test for multiple losses
Simulate the model
Fit the model
Create a new mind model

Get all kandi verified functions for this library.

World-Models Key Features

No Key Features are available at this moment for World-Models.

World-Models Examples and Code Snippets

No Code Snippets are available at this moment for World-Models.

Community Discussions

No Community Discussions are available at this moment for World-Models.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install World-Models

Clone this repository and install requirements: pip install -r requirements.txt.

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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