Contribute to these crazy HackToBerfest projects!

Contribute to these crazy HackToBerfest projects!
Photo by Kyle Jewell / Unsplash

After the Oktoberfest, brace yourselves for the electrifying HackToberfest!

I'm tight with my schedule, so unfortunately, I'm not going to participate in the HackToBerfest; that's why I'm writing this article, to maybe lead you into the cool open-source projects! ๐Ÿ˜…

These are the projects I'm inspecting privately and envy their maintainers and contributors!

LESS GO! ๐Ÿ‘‡

1 -) Flyte

I love this orchestration tool! I wanted to contribute to Flyte the previous year but didn't have time for that. I'm gonna definitely find some good-first-issue's in their github in my spare time!

GitHub - flyteorg/flyte: Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks. - GitHub - flyteorg/flyte: Scalable and flexible workflow orchestration platform that seโ€ฆ

2-) Evidently

I already contributed Evidently last year, it's a great platform for the observability of machine learning algorithms! If you're an enthusiast about observability don't miss out! Their discord community is the number one friendly environment!

GitHub - evidentlyai/evidently: Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b - GitHub - evidentlyai/evidently: Evaluate and monitor ML models from validatioโ€ฆ

3-) Ploomber

They are crazy! They opened their own mentoring for hacktoberfest (unfortunately this cohort is closed, but keep an eye on their LinkedIn page for the upcoming one!

and they have a project repository below for you to contribute!

GitHub - ploomber/projects: Sample projects using Ploomber.
Sample projects using Ploomber. Contribute to ploomber/projects development by creating an account on GitHub.

4-) Kserve!

Don't you know the story of me about forgetting how to install Kserve? it's a little bit complicated, I figured it out 1 year ago, then I couldn't some months ago because I didn't document ๐Ÿ˜…

Kserve is a definitely cool platform, built on top of the Knative and k8s, and makes your job easier when you wanna get your ML models into inference! ๐Ÿ”ฅ

GitHub - kserve/kserve: Standardized Serverless ML Inference Platform on Kubernetes
Standardized Serverless ML Inference Platform on Kubernetes - GitHub - kserve/kserve: Standardized Serverless ML Inference Platform on Kubernetes

5-) Dagshub

Most people know my love for dogs and of course Dagshub! I contributed to Audio Datasets versioning in 2021! Their team is definitely nailing it! Awesome product, defo recommendation! ๐Ÿค˜

GitHub - DagsHub/open-source-ml-datasets: This repository holds open source datasets for various machine learning domains with a link to download and use them
This repository holds open source datasets for various machine learning domains with a link to download and use them - GitHub - DagsHub/open-source-ml-datasets: This repository holds open source daโ€ฆ

Made it all the way down? Awesome! ๐Ÿ€

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-Mert