Could someone please explain how to start up with open source contribution.
Go on github filter projects via tags like tech stack you would like to contribute to, and probably sort based on stars.
Check the project if its been active by commits and releases...
If its popular and maintained by decent org peeps then go ahead and start digging more around the project and repo...
Get familiar with how its used and get familiar with thr repo.
You can start checking the issues section for already logged bugs which you can directly start investigation around.
Start debugging and troubleshooting around the issue.
Fix it and raise a PR with tests.
Address the review comments, and get merged.
The more you solve bugs the more you start digging up the code and understand the nooks and corners.
At one point you'll start to get to a level of SME, you'll start contributing to large things and bigger work items...
Maintainers would have already started recognising your contributions and you would probably become one if in the long run...
Thank you♥️
I am new to this, Don't know where to start. Little about myself: 2 years of experience as MLE geared towards computer vision. I have over all 4 years of experience.
I would really like to contribute to any ml projects be it NLP,gen ai ...
I am new to this, Don't know where to start. Little about myself: 2 years of experience as MLE geared towards computer vision. I have over all 4 years of experience.
I would really like to contribute to any ml projects be it NLP,gen ai ...
I felt like doing this AMA since, recently, students and experienced folks are being lured by 'paid' open-source courses. Feel free to ask any questions without paying any $$$. I won't respond to questions which could potentially dox me ...
How would you say things have changed for better or worse since Microsoft's involvement in GitHub?
How do you balance job and random open source contributions? Used to be active in the space, but ever since being emp...
