Hi Durgesh, Welcome to the mlpack community! I would say the first step would be to try and build mlpack from source on your machine. This will be required if you want to make additions to the library. I found this guide helpful: https://github.com/mlpack/mlpack#4-building-mlpack-from-source. Or, if you just want to test out some of the tools mlpack offers, you can simply install using the package manager. On Ubuntu, this can be achieved with the following command:
$ sudo apt-get install libmlpack-dev Once you are somewhat familiar with the codebase (going through the tests will help you understand the program structure), you can move onto solving a bug from the issues list (https://github.com/mlpack/mlpack/issues). It would be helpful if you have already decided on a project idea (https://github.com/mlpack/mlpack/wiki/SummerOfCodeIdeas), so you can direct your efforts on a particular area. Also, please go through the design guidelines (https://github.com/mlpack/mlpack/wiki/DesignGuidelines) before submitting your code, this will give you some insight on how to structure your contributions. Let me know if you have any questions. Thanks, Adeel ________________________________ From: mlpack <[email protected]> on behalf of Durgesha Agrawal <[email protected]> Sent: Monday, February 19, 2018 9:57 AM To: [email protected] Subject: [mlpack] Introduction Hello everyone! I am Durgesh Agrawal, first year undergrad from IIT Kanpur. I was exposed to machine learning in December and I found it very fascinating and interesting. I have completed the Machine learning course by Prof. Andrew Ng and I am halfway through the deep learning specialization as well. As of now, I am hungry to implement my knowledge to real life problems. I would love to work in developing MLPack!
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