lab | A customisable 3D platform for agent-based AI research | Machine Learning library

 by   deepmind C Version: release-2020-12-07 License: Non-SPDX

kandi X-RAY | lab Summary

kandi X-RAY | lab Summary

lab is a C library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. lab has no bugs, it has no vulnerabilities and it has medium support. However lab has a Non-SPDX License. You can download it from GitHub.

Disclaimer: This is not an official Google product. If you use DeepMind Lab in your research and would like to cite the DeepMind Lab environment, we suggest you cite the DeepMind Lab paper. You can reach us at

            kandi-support Support

              lab has a medium active ecosystem.
              It has 6868 star(s) with 1378 fork(s). There are 471 watchers for this library.
              It had no major release in the last 12 months.
              There are 56 open issues and 166 have been closed. On average issues are closed in 76 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of lab is release-2020-12-07

            kandi-Quality Quality

              lab has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              lab has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              lab releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of lab
            Get all kandi verified functions for this library.

            lab Key Features

            No Key Features are available at this moment for lab.

            lab Examples and Code Snippets

            No Code Snippets are available at this moment for lab.

            Community Discussions


            How to put geom_label in a geom_bar
            Asked 2021-Jun-16 at 02:58

            I am doing this graph with this code



            Answered 2021-Jun-16 at 02:58

            We can calculate the labels that we want to display and use it in geom_label.



            How to print ggplot for multiple tables in this case?
            Asked 2021-Jun-15 at 22:10

            I have this code which prints multiple tables



            Answered 2021-Jun-15 at 20:59

            So, this is a good opportunity to use purrr::map. You are half way there by applying code to one dataframe.

            You can take the code that you have written above and put it into a function.



            Find proportion of times each character(A,B,C,D) occurs in each column of a list which has 3 datasets
            Asked 2021-Jun-15 at 19:00

            I have a list (dput() below) that has 4 datasets.I also have a variable called 'u' with 4 characters. I have made a video here which explains what I want and a spreadsheet is here.

            The spreadsheet is not exactly how my data looks like but i am using it just as an example. My original list has 4 datasets but the spreadsheet has 3 datasets.

            Essentially i have some characters(A,B,C,D) and i want to find the proportions of times each character occurs in each column of 3 groups of datasets.(Check video, its hard to explain by typing it out)



            Answered 2021-Jun-09 at 19:00

            We can loop over the list 'l' with lapply, then get the table for each of the columns by looping over the columns with sapply after converting the column to factor with levels specified as 'u', get the proportions, transpose, convert to data.frame (, split by row (asplit - MARGIN = 1), then use transpose from purrr to change the structure so that each column from all the list elements will be blocked as a single unit, bind them with bind_rows



            Apache Beam SIGKILL
            Asked 2021-Jun-15 at 13:51

            The Question

            How do I best execute memory-intensive pipelines in Apache Beam?


            I've written a pipeline that takes the Naemura Bird dataset and converts the images and annotations to TF Records with TF Examples of the required format for the TF object detection API.

            I tested the pipeline using DirectRunner with a small subset of images (4 or 5) and it worked fine.

            The Problem

            When running the pipeline with a bigger data set (day 1 of 3, ~21GB) it crashes after a while with a non-descriptive SIGKILL. I do see a memory peak before the crash and assume that the process is killed because of a too high memory load.

            I ran the pipeline through strace. These are the last lines in the trace:



            Answered 2021-Jun-15 at 13:51

            Multiple things could cause this behaviour, because the pipeline runs fine with less Data, analysing what has changed could lead us to a resolution.

            Option 1 : clean your input data

            The third line of the logs you provide might indicate that you're processing unclean data in your bigger pipeline mmap(NULL, could mean that | "Get Content" >> beam.Map(lambda x: x.read_utf8()) is trying to read a null value.

            Is there an empty file somewhere ? Are your files utf8 encoded ?

            Option 2 : use smaller files as input

            I'm guessing using the fileio.ReadMatches() will try to load into memory the whole file, if your file is bigger than your memory, this could lead to errors. Can you split your data into smaller files ?

            Option 3 : use a bigger infrastructure

            If files are too big for your current machine with a DirectRunner you could try to use an on-demand infrastructure using another runner on the Cloud such as DataflowRunner



            javascript if..else statement should work but it doesn't
            Asked 2021-Jun-15 at 02:54

            I got an order from school so I've tried to make them. This is my code:



            Answered 2021-Jun-14 at 15:11

            Your code has an error in it, which is the use of break statements within the if and else clauses. If you remove the breaks, it should work.

            break statements can only be used within for/while loops and switch statements. You can't use them (and don't need them) in if/else statements.

            If you click "run code snippet" on your example, it shows the error message Uncaught SyntaxError: Illegal break statement which would help you find this issue. Also, if you open your browser's JavaScript console, you should find this error message where you are running your code. This will help you find and fix errors in the future.



            change environment size on scale_colour_manual to assign colour to factors to use across multiples plots
            Asked 2021-Jun-14 at 12:17

            I need to make 5 plots of bacteria species. Each plot has a different number of species present in a range of 30-90. I want each bacteria to always have the same color in all plots, therefore I need to set an assigned color to each name. I tried to use scale_colour_manual to create a color set but, the environment created has only 16 colors. How can I increase the number of colors present in the environment created?

            the code I am using can be replicated as follow:



            Answered 2021-Apr-26 at 12:59

            When you know all your 90 bacci names in front of plotting, you can try.



            connect input with data (Shiny r
            Asked 2021-Jun-13 at 21:19

            i'm new to R and shiny and also new to this forum.

            I need to build a shiny app but struggle to connect the inputs with my imported data.

            This is what i have so far:



            Answered 2021-Jun-13 at 21:19

            Tidyverse solution: You use your inputs to filter the dataset, right before plotting it. Therefore you need to get the data in long format with tidyr::pivot_longer() before.
            Afterwards you can filter here:



            Font change in ggplot not working on biplot label names
            Asked 2021-Jun-13 at 16:31

            I have stumbled upon a problem, where I can change all the text in a biplot image to the another font, with the exception of labels.

            A simple example of the problem is seen below, with label text clearly differing:

            Code that I used is also attached. I cannot find the solution to this issue, hopefully someone can help.



            Answered 2021-Jun-13 at 16:31


            You have to add the argument to fviz_pca:



            Mirror two PheWAS plots with ggplot2
            Asked 2021-Jun-13 at 12:48

            I have two PheWAS plots, and the number of categories (x axis, 20 categories) is the same in case of both. I would like to put them on the same plot, mirroring one of them on the y axis, but leaving the x axis titles in the middle.

            Example data:



            Answered 2021-Jun-13 at 12:48

            Flipping the 2nd plot

            To achieve this, we need to add two functions:

            • scale_y_reverse: This will flip the y axis; 0 is at the top, 10 at the bottom.
            • scale_x_discrete(position = top): This will put the x-axis at the top.

            Fixing the y-axis limits

            It would be best to keep the same y-axis limits for both plots, to make them comparable. As such, we have to supply ylim() to the first plot. For the second plot, we already have scale_y_reverse, so we can supply our limits there.

            Fixing the x labels

            Since you only want the labels to appear once, you'd have to use element_blank() for theme(axis.text.x) and theme(axis.title.x) in the 2nd plot. Similarly, I would remove the x-axis title in the first plot to keep it balanced.

            Combining the plots

            Now, you want to combine the plots. However, the first plot has a lot of information on the x-axis, while the second plot doesn't. This means they have different heights. I like to use cowplot::plot_grid for combining plots, because it allows you to set the relative height of the plots. In this case, we can use it to account for the height difference between the two plots.

            Final code



            How to customize a legend in ggplot2?
            Asked 2021-Jun-12 at 16:08

            I have the following dataframes:



            Answered 2021-Jun-12 at 16:08

            You can specify the legend shape using key_glyph and then manually specify the shape by type the same way you have done for fill.


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


            No vulnerabilities reported

            Install lab

            Get Bazel from Clone DeepMind Lab, e.g. by running. For a live example of a random agent, run. Here is some more detailed build documentation, including how to install dependencies if you don't have them. To enable compiler optimizations, pass the flag --compilation_mode=opt, or -c opt for short, to each bazel build, bazel test and bazel run command. The flag is omitted from the examples here for brevity, but it should be used for real training and evaluation where performance matters.
            Get Bazel from
            Clone DeepMind Lab, e.g. by running


            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

            Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link