Open source is a software development methodology that encourages programmers to share their source code with others. This allows anyone to inspect, modify, and improve the software. Open-source software is often free to use and distribute, and it is often more secure and reliable than proprietary software. Open source is on the rise, and machine learning is no exception. Contributing to a machine learning open-source community is a great way to gain skills, make connections, and improve your job prospects. In this blog post, I'll share the top 5 open-source machine learning communities.
Kaggle
The world's largest community of data scientists and machine learning engineers. Compete in challenges, share datasets, and learn from each other.
Website Link: https://www.kaggle.com/#
Omdena AI:
A community of data scientists and machine learning engineers who work together on real-world open-source projects. Learn from each other and gain real-world experience.
Website Link: https://omdena.com/community/
Hugging Face
A community for natural language processing (NLP) researchers and developers. Share your work, get help from others, and learn about NLP.
Website Link: https://huggingface.co/
Reinforcement Learning Discussion
A Discord server for reinforcement learning (RL) researchers and developers. Learn from each other, share your work, and get help with RL.
Website Link: https://discord.com/invite/ZZacuFKDhy
StartCraft II AI Arena
A website for AI researchers and developers to compete in StarCraft II AI challenges. Learn about AI, compete against other AIs, and network with other AI researchers.
Website Link: https://sc2ai.net/
I hope you found this blog article useful. I will be sharing similar articles on machine learning in the future as well.