Hackathon2015 | Achievements from the 2015 WBAI Hackathon | Data Labeling library

 by   wbap Python Version: Current License: Apache-2.0

kandi X-RAY | Hackathon2015 Summary

kandi X-RAY | Hackathon2015 Summary

Hackathon2015 is a Python library typically used in Artificial Intelligence, Data Labeling, Tensorflow applications. Hackathon2015 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Hackathon2015 build file is not available. You can download it from GitHub.

Achievements from the 2015 WBAI Hackathon.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              Hackathon2015 has a low active ecosystem.
              It has 5 star(s) with 8 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Hackathon2015 has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Hackathon2015 is current.

            kandi-Quality Quality

              Hackathon2015 has no bugs reported.

            kandi-Security Security

              Hackathon2015 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Hackathon2015 is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Hackathon2015 releases are not available. You will need to build from source code and install.
              Hackathon2015 has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Hackathon2015 and discovered the below as its top functions. This is intended to give you an instant insight into Hackathon2015 implemented functionality, and help decide if they suit your requirements.
            • Train the model
            • Forward computation
            • Compute softmax cross entropy
            • Validate the model
            • Forward one step
            • Draws the loss curve
            • Load dataset
            • Extract data from two files
            • Calculates cost updates for each layer
            • Return a random input
            • Returns the original input
            • Create result directory
            • Draw an image
            • Draw filters
            • Draw filters
            • Predict the sign of the signature
            • Predict for each layer
            • Get an optimizer object
            • Train the objective function
            • Draw a histogram of weights
            • Save model parameters to file
            • Predict the model
            • Draw weight plot
            • Set parameters from json data
            • Calculates the cost of the loss function
            • Evaluate the mean squared error
            Get all kandi verified functions for this library.

            Hackathon2015 Key Features

            No Key Features are available at this moment for Hackathon2015.

            Hackathon2015 Examples and Code Snippets

            No Code Snippets are available at this moment for Hackathon2015.

            Community Discussions

            QUESTION

            How can I do this split process in Python?
            Asked 2021-Dec-30 at 14:06

            I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

            What I've done so far is make this representation with the same enumerator class.

            A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

            ...

            ANSWER

            Answered 2021-Dec-30 at 13:57

            Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

            Source https://stackoverflow.com/questions/70532286

            QUESTION

            Replacing a character with a space and dividing the string into two words in R
            Asked 2020-Nov-18 at 07:32

            I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

            In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

            i have this:

            ...

            ANSWER

            Answered 2020-Nov-16 at 07:24

            QUESTION

            Azure ML FileDataset registers, but cannot be accessed for Data Labeling project
            Asked 2020-Oct-28 at 20:31

            Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

            Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

            Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

            ...

            ANSWER

            Answered 2020-Oct-27 at 22:39

            Is the data behind virtual network by any chance?

            Source https://stackoverflow.com/questions/64546521

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

            Vulnerabilities

            No vulnerabilities reported

            Install Hackathon2015

            You can download it from GitHub.
            You can use Hackathon2015 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:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/wbap/Hackathon2015.git

          • CLI

            gh repo clone wbap/Hackathon2015

          • sshUrl

            git@github.com:wbap/Hackathon2015.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link