vegans | A library providing various existing GANs in PyTorch | Machine Learning library

 by   unit8co HTML Version: 0.4.0 License: MIT

kandi X-RAY | vegans Summary

kandi X-RAY | vegans Summary

vegans is a HTML library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Generative adversarial networks applications. vegans has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A library to easily train various existing GANs (and other generative models) in PyTorch. This library targets mainly GAN users, who want to use existing GAN training techniques with their own generators/discriminators. However researchers may also find the GenerativeModel base class useful for quicker implementation of new GAN training techniquess. The focus is on simplicity and providing reasonable defaults.
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              vegans has a low active ecosystem.
              It has 467 star(s) with 37 fork(s). There are 16 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 5 have been closed. On average issues are closed in 298 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of vegans is 0.4.0

            kandi-Quality Quality

              vegans has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              vegans 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

              vegans releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 45151 lines of code, 396 functions and 214 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            vegans Key Features

            No Key Features are available at this moment for vegans.

            vegans Examples and Code Snippets

            No Code Snippets are available at this moment for vegans.

            Community Discussions

            QUESTION

            Match people into groups according to food preference
            Asked 2021-Oct-03 at 10:18

            I am looking for an algorithm which helps me to distribute people into 3 groups (a, b , c). The people in a group should fit together, which means that the food preferences should match in a way that they all can agree to the same kind of food. Each cluster (sub-group) within the group consists of 6 people. Let's say there are 4 types of food preferences:

            1. The person likes to eat meat
            2. The person likes to eat vegetarian food
            3. The person likes to eat vegan food
            4. The person has no food preferences, which means the person basically likes to eat everything

            I want to distribute the people into 3 logical groups:

            • Group a: meat and no_food_preference
            • Group b: vegan, vegetarian and no_food_preference
            • Group c: vegetarian and no_food_preference

            I use the people with no_food_preference to fill up the cluster in order to make sure that each cluster contains 6 people.

            After distributing all people into groups, each group will consist of multiple of 6 people.

            My problem: I tried very hard, but I can not find an algorithm which does this for me. I find it very hard to handle the fact, that the algorithm should handle any number of participants.

            Example:

            ...

            ANSWER

            Answered 2021-Sep-30 at 10:04

            Create 4 dataframes: 3 for your groups (dfA, dfB, dfC) and 1 for the group with no food preference (dfX), then fill each group A, B, C inplace with group X if needed:

            Source https://stackoverflow.com/questions/69387009

            QUESTION

            Unable to POST to PHP backend server | "exception":"[object] (BadMethodCallException(code: 0): Method App
            Asked 2020-Aug-17 at 09:23

            Not sure what am i missing here..I'm trying to POST some data from my App to a PHP based backend system(Laravel framework). Here's the details of my attempt & failure :

            ERROR from Storage/Logs when my app attempts to POST API call is made :

            ...

            ANSWER

            Answered 2020-Aug-17 at 08:46
            ProductOrderAPIController::store does not exist
            

            Source https://stackoverflow.com/questions/63447321

            QUESTION

            Postgresql selecting all rows which don't have any of a set of values
            Asked 2020-Jun-22 at 10:12

            I have a table called Meals. Meals have many Components (e.g. mash, brocolli, steak), and each component has_many Allergens.

            I want to select the meal(s) which doesn't have any of a given list of allergens.

            If I join the three tables, and do allergen_id not in (... list of allergen ids), that will return me the meal if it has any allergen that isn't in the list of allegerns to exclude, which is not right:

            ...

            ANSWER

            Answered 2020-Jun-22 at 10:12

            NOT EXISTS(...) does exactly what you want.

            Your own text I want to select the meal(s) which doesn't have any of a given list of allergens. can almost directly be translated into SQL:

            Source https://stackoverflow.com/questions/62511144

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

            Vulnerabilities

            No vulnerabilities reported

            Install vegans

            You need python 3.7 or above. Then: pip install vegans.

            Support

            PRs and suggestions are welcome. Look here for more details on the setup.
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            Install
          • PyPI

            pip install vegans

          • CLONE
          • HTTPS

            https://github.com/unit8co/vegans.git

          • CLI

            gh repo clone unit8co/vegans

          • sshUrl

            git@github.com:unit8co/vegans.git

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