Vulpes | Deep Belief Net written in F # , and using Alea | GPU library

 by   fsprojects JavaScript Version: Current License: MIT

kandi X-RAY | Vulpes Summary

kandi X-RAY | Vulpes Summary

Vulpes is a JavaScript library typically used in Hardware, GPU, Deep Learning applications. Vulpes has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Vulpes is an implementation of deep belief and deep learning, written in F# and using Alea.cuBase to connect to your PC's GPU device.
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              Vulpes has a low active ecosystem.
              It has 116 star(s) with 17 fork(s). There are 25 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 2 have been closed. On average issues are closed in 2 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Vulpes is current.

            kandi-Quality Quality

              Vulpes has 0 bugs and 0 code smells.

            kandi-Security Security

              Vulpes has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Vulpes code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Vulpes is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Vulpes releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            Vulpes Key Features

            No Key Features are available at this moment for Vulpes.

            Vulpes Examples and Code Snippets

            No Code Snippets are available at this moment for Vulpes.

            Community Discussions

            QUESTION

            Binding a list of summary data to a data.frame creates an unknown column in R
            Asked 2021-Dec-10 at 21:31

            I have a large df (+100k rows, see snapshot of data below) that I'm trying to summarize (min, mean, median, max, etc.) a variable (salinity) in a table by group (species) using tapply, but if I use the whole dataset (which contains a few NA's, but not in every group) instead of a random subset, tapply adds in an extra column in the table it creates called "NA.s" and it has a value for every group. I'm not sure what this column is or how it's created. Using a subset of randomly chosen rows from the df instead doesn't recreate this issue, so I'm not sure how to reproduce my data here...

            I load my data:

            then I run this code:

            ...

            ANSWER

            Answered 2021-Dec-10 at 21:31

            This will happen because some of the species will not have NAs while others will. summary will not have the NA column if there are none missing and rbind doesn’t know how to handle a differing number of columns. You’re seeing the first element repeated (the min) when there are none missing. For species that have some missing, you'll see the count of NA

            Source https://stackoverflow.com/questions/70310109

            QUESTION

            Estimating Simpson's Index with vegan package for single days in R
            Asked 2021-Mar-16 at 03:43

            I have a huge data set of nature observations like this:

            fulldata:

            ...

            ANSWER

            Answered 2021-Mar-16 at 03:43

            This will work as long as the species names are consistently spelled. Assuming your sample data is called species:

            Source https://stackoverflow.com/questions/66637236

            QUESTION

            R - How to replicate and alter a dataframe based on a list of matching names using a loop
            Asked 2020-Jun-01 at 14:57

            I have a data frame which consists of various species, and a column showing their presence (detection column). I want to end up with a list of data frames, one for each species. Within each species new data frame I want the matching species detection values be turned to a '1', while keeping all other species detection values as 0. Here is an example data frame with two species:

            ...

            ANSWER

            Answered 2020-Jun-01 at 14:57

            The approach you described is correct. However, you need to copy the data first before you modify the Detection value, so that you do not change the original data and the subsequent copies of it.

            Source https://stackoverflow.com/questions/62134679

            QUESTION

            R- How do I make a loop function to extract data and paste in a new data frame
            Asked 2020-Apr-09 at 16:59

            I have a data frame consisting of two columns ("Cam_Trap_Days" and "Genus"), where Cam_Trap_Days indicates a particular day and the genus that were present at the observation.

            ...

            ANSWER

            Answered 2020-Apr-09 at 16:59

            Here is some code in base R that accomplishes your task:

            Source https://stackoverflow.com/questions/61120597

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

            Vulnerabilities

            No vulnerabilities reported

            Install Vulpes

            You can download it from GitHub.

            Support

            There are several avenues for further development of Vulpes. To contribute as a developer, I would encourage you to join the mailing list, where we can discuss the issues and milestones. There is a list of milestones and an issues database in this repository.
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