AI Communities

Your Ultimate Hub for AI Communities

Connect with 30+ Top AI Networks to Learn, Innovate, and Collaborate

Welcome to the world’s most comprehensive AI communities aggregator! Discover over 30+ vibrant hubs where millions of AI enthusiasts, researchers, and developers share knowledge, build projects, and shape the future of artificial intelligence. From Reddit’s r/MachineLearning to Kaggle’s data science challenges, find the perfect community to fuel your passion, whether you’re a beginner or expert. Bookmark this page and enable push notifications to stay updated on new communities and site features!

Best AI Communities in 2025 AI Universe Explorer

Why Connect with AI Communities?

AI communities are the heartbeat of innovation, connecting millions to share resources, solve challenges, and drive progress. Our handpicked list of 30+ communities spans forums, Q&A platforms, social networks, and more, covering machine learning, generative AI, ethics, and beyond. Whether you’re coding on GitHub, competing on Kaggle, or debating on Reddit, these spaces offer learning, collaboration, and inspiration for all skill levels. Dive in below to find your AI home!

Discover the Best AI Communities

Explore our curated list of over 30+ AI communities, from global forums to niche networks, connecting you with experts and enthusiasts worldwide. Click “Explore” to join discussions, access resources, or contribute to AI’s future. Found a new AI tool? Share it in our AI Tools section!

Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.

AI & ML Community (Kaggle)

  • Platform: Online Community

  • Description: Kaggle, Google’s premier data science platform, unites 24M+ members from 190+ countries in 2025. Compete in 29,000+ challenges with $1M+ prize pools, explore 456,000+ datasets, and share 1.3M+ notebooks. Its forums buzz with ML model tips, code debugging, and networking. With free GPU/TPU access and 70+ hours of courses, Kaggle is ideal for beginners and experts.

  • Key Details:

    • Focus: Data Science, Machine Learning, Competitions

    • Members: 24M+

    • Unique Features: Competitions, datasets, free cloud computing

GitHub is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project.

AI on GitHub

  • Platform: GitHub Community

  • Description: GitHub’s AI ecosystem, with 100M+ developers in 2025, hosts thousands of open-source AI projects, from PyTorch to custom LLMs. Contribute to 900K+ models, 200K+ datasets, or explore trending repos like Hugging Face’s Transformers. A hub for coders and researchers to collaborate and innovate.

  • Key Details:

    • Focus: Open-Source AI, Development, Collaboration

    • Members: 100M+

    • Unique Features: Repositories, CI/CD, model sharing

AI Trends, Networking, Discussions

AI on Twitter (X)

  • Platform: Twitter Community

  • Description: The AI community on X, with 900K+ active accounts in 2025, offers real-time insights from leaders like Andrew Ng (@AndrewYNg) and Yann LeCun (@ylecun). Discuss ML, generative AI, or ethics, and share projects to grow your network. A fast-paced hub for AI trends and debates.

  • Key Details:

    • Focus: AI Trends, Networking, Discussions

    • Members: 900K+

    • Unique Features: Thought leader access, #AINews trends

Ask questions, find answers and collaborate at work with Stack Overflow for Teams. ... Connect and share knowledge within a single location that is structured

AI Stack Exchange

  • Platform: Q&A Website

  • Description: AI Stack Exchange, with 50K+ monthly users in 2025, is a Q&A hub for AI/ML queries. Get expert answers on deep learning, NLP, or computer vision, with 10K+ questions archived. Contribute solutions to grow your expertise. Perfect for technical problem-solving.

  • Key Details:

    • Focus: AI, Machine Learning, Q&A

    • Members: 50K+ monthly users

    • Unique Features: Expert answers, searchable archive

DeepLearning.AI

  • Platform: Online Learning Community

  • Description: Founded by Andrew Ng, DeepLearning.AI has 300K+ learners in 2025, offering courses on deep learning, NLP, and reinforcement learning. Discuss projects, share models, or attend webinars. A structured learning hub for AI mastery.

  • Key Details:

    • Focus: Deep Learning, AI Education, NLP

    • Members: 300K+ learners

    • Unique Features: Coursera courses, project-based learning

AI, ML, Data Science & Robotics (LinkedIn)

  • Platform: LinkedIn Group

  • Description: This LinkedIn group, with 3M+ members in 2025, connects AI, ML, data science, and robotics professionals. Discuss NLP, computer vision, or AI ethics, share technical insights, and explore job opportunities. A top space for career growth and collaboration.

  • Key Details:

    • Focus: AI, Machine Learning, Data Science, Robotics

    • Members: 3M+

    • Unique Features: Job postings, thought leader posts

The most insightful stories about Artificial Intelligence. What is Artificial Intelligence and How Does it Work?

Artificial Intelligence on Medium

  • Platform: Blogging Platform

  • Description: Medium’s AI community, with 100K+ monthly readers in 2025, hosts 10K+ articles on deep learning, AI ethics, and generative AI. Follow publications like Towards Data Science or authors like Andrej Karpathy for insights. Share your work to spark discussions.

  • Key Details:

    • Focus: AI Insights, Thought Leadership, Tutorials

    • Members: 100K+ readers

    • Unique Features: Long-form articles, comment discussions

Amazon AWS Machine Learning (ML) & Artificial Intelligence (AI) Community Join the community. AWS Training and Certification Community allows you to connect, learn, and share with other AWS enthusiasts

AWS Machine Learning

  • Platform: Cloud and ML Community

  • Description: AWS Machine Learning, with 1M+ developers in 2025, offers forums for discussing SageMaker, cloud-based ML, and AI services. Access tutorials, certifications, and connect with AWS experts. Ideal for building scalable AI solutions in the cloud.

  • Key Details:

    • Focus: Cloud-Based ML, AI Services, Development

    • Members: 1M+ AWS users

    • Unique Features: SageMaker, certifications, re:Invent

DataScienceCentral.com - Big Data News and Analysis

Data Science Central

  • Platform: Data Science and AI Community

  • Description: Data Science Central, with 500K+ members in 2025, provides articles, webinars, and forums on AI, ML, and analytics. Discuss big data or predictive modeling with professionals. Access free eBooks and datasets for skill-building.

  • Key Details:

    • Focus: Data Science, AI, Analytics

    • Members: 50M+

    • Unique Features: Podcasts, Articles, eBooks, 

DataCamp Community

  • Platform: Educational Community

  • Description: DataCamp, with 17M+ learners in 2025, offers forums for discussing data science, ML, and Python/R projects. Access free courses, share notebooks, and connect with instructors. A supportive space for students and professionals upskilling in AI.

  • Key Details:

    • Focus: Data Science, Machine Learning, Education

    • Members: 17M+ learners

    • Unique Features: Free courses, certifications, notebooks

DEV Community is a community of 3,259,765 amazing developers We're a place where coders share, stay up-to-date and grow their careers.

DEV Community

  • Platform: Developer Community

  • Description: The DEV Community, with 3M+ Developers in 2025, is a forum for programmers discussing ML, AI, and data science. Share tutorials, debug code, or explore GitHub projects. A welcoming space for developers at all levels.

  • Key Details:

    • Focus: AI, Machine Learning, Development

    • Members: 3M+ social followers

    • Unique Features: Tutorials, project discussions, GitHub integration

fast.ai—Making neural nets uncool again fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results

Fast.ai

  • Platform: Educational Community

  • Description: Fast.ai, with 100K+ learners in 2025, offers free, hands-on deep learning courses and forums for discussing neural networks, computer vision, and NLP. Share projects or ask questions with a global community. Ideal for practical AI learning.

  • Key Details:

    • Focus: Deep Learning, AI Education, Practical Projects

    • Members: 100K+ learners

    • Unique Features: Free courses, forums, Jupyter notebooks

Google AI Community A place to connect with the AI community. Share tips and tricks, cool projects, and fun prompts.

Google AI

  • Platform: Research Community

  • Description: Google AI, with 200K+ followers in 2025, is a hub for research on BERT, Gemini, and TensorFlow. Explore papers, datasets, or discuss on Kaggle/Google’s blog. Connect with researchers driving AI innovation.

  • Key Details:

    • Focus: AI Research, Machine Learning, Tools

    • Members: 200K+ followers

    • Unique Features: Research papers, TensorFlow, Google Cloud

The biggest AI community around the globe Be part of the biggest community and join and organize AI events around the world.

Global AI Community

  • Platform: Social Network

  • Description: The Global AI Community, with 100K+ members across 50+ countries in 2025, hosts virtual events, meetups, and forums on AI ethics, generative AI, and more. Collaborate on projects or access webinars. A borderless AI network.

  • Key Details:

    • Focus: AI Networking, Global Collaboration, Events

    • Members: 100K+

    • Unique Features: Local chapters, virtual summits

The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.

Hugging Face

  • Platform: Open-Source AI Community

  • Description: Hugging Face, with 1M+ users in 2025, leads open-source AI for NLP, vision, and generative AI. Access 900K+ models, 200K+ datasets, and forums to discuss Transformers or Stable Diffusion. A global hub for innovation.

  • Key Details:

    • Focus: NLP, Generative AI, Open-Source

    • Members: 1M+ users

    • Unique Features: Model hub, community challenges

Learn Prompting

  • Platform: Educational Community

  • Description: Learn Prompting, with 3M+ members in 2025, teaches prompt engineering for NLP models like ChatGPT. Share tips, discuss challenges, or access tutorials in forums. Perfect for researchers and creatives mastering AI interaction.

  • Key Details:

    • Focus: Prompt Engineering, NLP, AI Interaction

    • Members: 3M+

    • Unique Features: Prompt guides, interactive tutorials

We help developers like you skip years ahead. Discover how to get better results, faster.

Machine Learning Mastery

  • Platform: Educational Community

  • Description: Led by Dr. Jason Brownlee, Machine Learning Mastery serves 20M+ learners in 2025 with tutorials, eBooks, and forums on ML and deep learning. Discuss algorithms, share code, or ask questions. A practical resource for AI skill-building.

  • Key Details:

    • Focus: Machine Learning, Deep Learning, Tutorials

    • Members: 20M+ learners

    • Unique Features: eBooks, code snippets, guides

NVIDIA FORUMS Join a community, get answers to all your questions, and chat with other members on the hottest topics like GEFORCE, DEVELOPER, OMNIVERSE, GEFORCE NOW, SHIELD, STUDIO

NVIDIA Developer Zone

  • Platform: Developer Community

  • Description: NVIDIA Developer Zone, with 500K+ members in 2025, focuses on GPU-accelerated AI, deep learning, and computer vision. Discuss CUDA, cuDNN, or autonomous systems in forums. A hub for developers pushing AI’s limits.

  • Key Details:

    • Focus: GPU Computing, Deep Learning, Development

    • Members: 500K+

    • Unique Features: CUDA, GTC conferences, tools

This is a dedicated and safe environment where you can skill up on AI with the help of experts and peers. Dive deep into topic-specific questions via asynchronous discussions and virtual sessions. It’s a great place to start your AI journey.

Microsoft AI

  • Platform: Research Community

  • Description: Microsoft AI, with 300K+ followers in 2025, offers forums on Azure AI, Cognitive Services, and research papers. Discuss NLP, computer vision, or ethics with experts. A hub for cloud-based AI development and innovation.

  • Key Details:

    • Focus: AI Research, Cloud AI, Development

    • Members: 300K+ followers

    • Unique Features: Azure AI, research papers, tools

MidJourney

  • Platform: Discord Community

  • Description: MidJourney’s Discord, with 2M+ members in 2025, is a creative hub for text-to-image AI art. Generate art in <60 seconds, discuss prompts, or join challenges. Guides support newcomers, making it ideal for artists and AI enthusiasts.

  • Key Details:

    • Focus: Generative AI, AI Art, Prompt Crafting

    • Members: 2M+

    • Unique Features: Real-time art generation, creative challenges

OpenAI Forum Forum will serve as a hub to support AI literacy, foster collaboration, the exchange of ideas, and enable engagement in projects that inform the development of human values-informed technology.

OpenAI Forum

  • Platform: Online Forum

  • Description: The OpenAI Forum, with 100K+ members in 2025, discusses ChatGPT, DALL-E, and AI ethics. Share projects, troubleshoot APIs, or debate AI’s impact with developers and enthusiasts. A key space for OpenAI’s ecosystem.

  • Key Details:

    • Focus: OpenAI Tools, AI Ethics, Development

    • Members: 100K+

    • Unique Features: API discussions, project showcases

PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem.

PyTorch

  • Platform: Deep Learning Community

  • Description: PyTorch, with 200K+ contributors in 2025, is a leading deep learning framework community. Discuss model development, share code, or access tutorials on GitHub/forums. Connect with researchers building NLP and vision models.

  • Key Details:

    • Focus: Deep Learning, Model Development, Research

    • Members: 200K+ contributors

    • Unique Features: Open-source framework, tutorials

Artificial Intelligence (AI) Reddit · r/artificial 11.1L+ followers r/artificial: Reddit's home for Artificial Intelligence (AI)

r/Artificial

  • Platform: Reddit Forum

  • Description: r/artificial, with 1.1M+ subscribers in 2025, explores AI, robotics, and societal impacts. Discuss ethics, healthcare AI, or generative art with a diverse community. Ideal for enthusiasts curious about AI’s broader implications.

  • Key Details:

    • Focus: AI, Robotics, Ethics, Societal Impact

    • Members: 1.1M+

    • Unique Features: Ethical debates, beginner-friendly

Artificial Intelligence Reddit · r/ArtificialInteligence 15.1L+ followers r/ArtificialInteligence: A subreddit dedicated to everything Artificial Intelligence. Covering topics from AGI to AI startups.

r/ArtificialIntelligence

  • Platform: Reddit Forum

  • Description: r/ArtificialIntelligence, with 1.5M+ subscribers in 2025, is a hub for AI discussions, from reinforcement learning to ethics. Share projects, ask questions, or explore papers with enthusiasts and researchers. A dynamic space for AI trends.

  • Key Details:

    • Focus: AI, Research, Projects, Ethics

    • Members: 1.5M+

    • Unique Features: Research paper shares, project feedback

reddit ComputerVision community is home to the academics and engineers both advancing and applying this interdisciplinary field, with backgrounds in computer science, machine learning, robotics, mathematics, and more. We welcome everyone from published researchers to beginners!

r/ComputerVision

  • Platform: Reddit Forum

  • Description: r/ComputerVision, with 120K+ subscribers in 2025, focuses on image processing, object detection, and vision AI. Discuss YOLO, OpenCV, or autonomous driving with researchers and developers. Share projects or seek advice.

  • Key Details:

    • Focus: Computer Vision, Image Processing, AI Applications

    • Members: 120K+

    • Unique Features: Technical discussions, tool tutorials

A space for data science professionals to engage in discussions and debates on the subject of data science.

r/DataScience

  • Platform: Reddit Forum

  • Description: r/datascience, with 2.7M+ subscribers in 2025, is a vibrant hub for data science and ML. Share Python/R tutorials, discuss career paths, or explore Kaggle projects with professionals and enthusiasts. A top resource for analytics and AI.

  • Key Details:

    • Focus: Data Science, Machine Learning, Analytics

    • Members: 2.7M+

    • Unique Features: Career advice, project sharing, tutorials

r/DeepLearning

  • Platform: Reddit Forum

  • Description: r/DeepLearning, with 198K+ subscribers in 2025, dives into neural networks, CNNs, and deep learning breakthroughs. Discuss papers, share code, or ask about PyTorch with experts and learners. A must-join for deep learning fans.

  • Key Details:

    • Focus: Deep Learning, Neural Networks, Research

    • Members: 198K+

    • Unique Features: Paper discussions, code sharing

Dive into Generative AI - where human creativity meets machine imagination. Create art, music, video, writing and websites with models like ChatGPT, Gemini, Veo, Claude, Midjourney, Flux, Llama, Sora and mora. Ask a question, share a creation, enjoy some art or talk to our community bot Jenna_AI. What a time to be alive!

r/GenerativeAI

  • Platform: Reddit Forum

  • Description: r/GenerativeAI, with 18K+ subscribers in 2025, is a hub for discussing AI-driven content creation, from ChatGPT to Stable Diffusion. Share prompts, tutorials, or collaborate on open-source projects. Ideal for creatives and developers.

  • Key Details:

    • Focus: Generative AI, Content Creation, Prompt Engineering

    • Members: 18K+

    • Unique Features: Prompt tips, community projects

Welcome to r/learnmachinelearning - a community of learners and educators passionate about machine learning! This is your space to ask questions, share resources, and grow together in understanding ML concepts - from basic principles to advanced techniques. Whether you're writing your first neural network or diving into transformers, you'll find supportive peers here. For ML research, /r/machinelearning For resume review, /r/engineeringresumes For ML engineers, /r/mlengineering

r/LearnMachineLearning

  • Platform: Reddit Forum

  • Description: r/LearnMachineLearning, with 528K+ subscribers in 2025, is a beginner-friendly hub for ML education. Ask basic questions, share projects, or access resources like MOOCs and GitHub repos. A supportive space for new learners.

  • Key Details:

    • Focus: Machine Learning, Education, Beginner Support

    • Members: 528K+

    • Unique Features: Beginner Q&A, resource sharing, Discord

Beginners -> /r/mlquestions or /r/learnmachinelearning , AGI -> /r/singularity, career advices -> /r/cscareerquestions, datasets -> r/datasets

r/MachineLearning

  • Platform: Reddit Forum

  • Description: r/MachineLearning, with 3M+ subscribers in 2025, is Reddit’s largest AI/ML community. Discuss deep learning, NLP, or research with a strict tagging system ([D], [R], [P]). Weekly Simple Questions threads welcome beginners. A hub for all levels.

  • Key Details:

    • Focus: Machine Learning, AI, Research

    • Members: 3M+

    • Unique Features: Tagging system, Simple Questions Thread

This sub will focus on theory, careers, and applications of NLP (Natural Language Processing), which includes anything from Regex & Text Analytics to Transformers & LLMs.

r/LanguageTechnology

  • Platform: Reddit Forum

  • Description: r/LanguageTechnology, with 57K+ subscribers in 2025, focuses on NLP, from chatbots to Transformers. Discuss BERT, prompt engineering, or share projects with researchers and developers. A key space for NLP innovation.

  • Key Details:

    • Focus: NLP, Language Models, AI Applications

    • Members: 57K+

    • Unique Features: Model discussions, code sharing

Reinforcement learning is a subfield of AI/statistics focused on exploring/understanding complicated environments and learning how to optimally acquire rewards. Examples are AlphaGo, clinical trials & A/B tests, and Atari game playing.

r/ReinforcementLearning

  • Platform: Reddit Forum

  • Description: r/reinforcementlearning, with 63K+ subscribers in 2025, is a niche hub for RL algorithms and applications like gaming or robotics. Share code, discuss Deep RL, or ask questions with enthusiasts and researchers.

  • Key Details:

    • Focus: Reinforcement Learning, Algorithms, Applications

    • Members: 63K+

    • Unique Features: Algorithm discussions, real-world use cases

r/Robotics

  • Platform: Reddit Forum

  • Description: r/Robotics, with 283K+ subscribers in 2025, explores AI-driven robotics, automation, and hardware. Discuss SLAM, ROS, or robotic arms with engineers and hobbyists. Share projects or learn industry trends.

  • Key Details:

    • Focus: Robotics, AI, Automation

    • Members: 283K+

    • Unique Features: Hardware discussions, project showcases

TensorFlow https://www.tensorflow.org › community Get involved. Be a part of our global contributor community by writing code, commenting on blogs, or attending meetups. Forum. Join the community forum

TensorFlow Community

  • Platform: Online Community

  • Description: TensorFlow, with 150K+ members in 2025, supports Google’s deep learning framework. Discuss neural networks, NLP, or image classification in forums/GitHub. Join TensorFlow User Groups or share models. A hub for deep learning devs.

  • Key Details:

    • Focus: Deep Learning, TensorFlow, Model Development

    • Members: 150K+

    • Unique Features: TensorFlow Hub, user groups

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