Have fun drawing doodles while an AI tries to guess what you create. Play, learn, and see how machine learning recognizes your sketches in real time.
Draw doodles and see if AI can guess them
Quick, Draw! is a fun online game that lets you sketch simple doodles while an AI tries to guess what you're drawing in real time. It's a playful way to interact with machine learning and see how well a neural network can recognize your creations.
You don't need any drawing skills—just pick up your mouse or finger and start doodling whatever the game prompts. As you draw, the AI will make guesses and show you how it thinks, making each round entertaining and sometimes surprising.
It's perfect for anyone curious about AI, looking for a quick creative break, or wanting to challenge themselves and friends. Plus, the more you play, the better the AI gets at recognizing new drawings!
Discover websites similar to Quickdraw.withgoogle.com based on shared categories, topics, and features.
Baidu AI Open Platform offers cutting-edge tools for speech, image, and NLP, making it easy to build and deploy AI-powered applications in Chinese.
Join a global data science and machine learning community, access datasets, enter competitions, and use collaborative tools to grow your skills.
Dataiku is a platform to build, deploy, and manage AI and analytics projects, helping teams turn data into business insights and smarter decisions.
Nyckel lets you quickly build and deploy custom machine learning models—no advanced technical background needed. Fast, secure, and easy to use.
StreamHPC builds high-performance software solutions using GPU programming and OpenCL, helping companies achieve faster, more efficient computing.
Discover Apple’s latest machine learning and AI research, including publications, highlights, and insights from their expert teams.
Google Colab lets you write and run Python code in your browser, with free access to GPUs, making it easy to collaborate and build machine learning projects.
Iguazio is an AI development platform that helps you build, deploy, and manage machine learning and generative AI applications at scale.
Get regular updates and expert insights on AI, machine learning, and data science with TheSequence, a newsletter for professionals and enthusiasts.
Clarifai lets you build, manage, and deploy AI and machine learning models across any computing environment, making AI workflows easier and more efficient.
Metal Toad offers AWS managed services and machine learning solutions to help businesses migrate to the cloud, optimize costs, and modernize operations.
Element 84 delivers geospatial data processing and software solutions to help organizations analyze, visualize, and use earth data for positive impact.
Learn about deep learning, GPUs, and hardware choices through accessible guides, tips, and blog posts from Tim Dettmers. Perfect for AI enthusiasts and students.
Personal site of Joseph Redmon featuring machine learning research, publications, talks, and resources on AI and environmental science.
AutoKeras helps you build machine learning models easily with an automated system based on Keras. Find guides, resources, and community support.
ArrayFire is a fast tensor library for GPU computing, offering hundreds of accelerated functions and tools for AI, data science, and engineering projects.
SMG Studio creates original and licensed video games for all platforms, including titles like Moving Out, Thumb Drift, and RISK: Global Domination.
Experience classic Acorn Atom and BBC Micro computers through this easy-to-use Javascript emulator, complete with cassette and disc support.
Explore story-driven games with immersive adventures and intuitive gameplay from a Paris-based studio. Discover new worlds and engaging mysteries to solve.
Trophy Games lets you join a gaming community, compete in online tournaments, and connect with other players to track achievements and progress.
Cerebras offers a fast, user-friendly platform for AI training and deployment, featuring advanced models and tools for innovative teams and developers.
Apache Spark is an open-source engine for large-scale data analytics, supporting data engineering, science, and machine learning in multiple languages.
ICML 2025 is the official site for the International Conference on Machine Learning, offering info on talks, workshops, registration, and event resources.
Distill offers clear, interactive articles that explain machine learning concepts, making advanced topics accessible for learners and researchers alike.
Apache OpenNLP is an open-source toolkit for building machine learning-based natural language processing solutions in Java.
DVC is an open-source tool for version control in data science and machine learning, helping you track data, models, and experiments like with Git.
Find benchmark datasets, data loaders, and evaluators for graph machine learning research, all designed to work with PyTorch models and tools.
fast.ai offers accessible tools, courses, and resources for learning and building practical deep learning and machine learning applications in Python.
JAX offers Python tools for high-performance array computing, making it easy to build, transform, and optimize machine learning and numerical programs.
Keras offers user-friendly tools and guides for building deep learning models, making machine learning accessible and efficient for developers of all levels.
LAION is a nonprofit sharing open machine learning datasets, tools, and models to support research, education, and accessible AI development for everyone.
Read insightful blog posts on deep learning, computer vision, and NLP from an experienced AI engineer, sharing knowledge and industry updates.
Dask is an open-source Python library that helps you run data analysis and machine learning tasks faster by scaling your existing Python tools.
Explore Aki Ariga's blog on machine learning, coding projects, and data science insights, with resources in English and Japanese for tech enthusiasts.
Kubeflow helps you build, deploy, and manage machine learning workflows easily on Kubernetes, making AI projects simple and scalable.
ONNX is an open standard platform that enables machine learning models to work across different tools, making AI development more flexible and accessible.
Google Colab lets you run Jupyter Notebooks in the cloud for free, offering easy access to GPUs and TPUs for machine learning, data science, and education.
Join a global challenge using machine learning and computer vision to help decode ancient scrolls for prizes and scientific discovery.
Stan is an open-source platform for Bayesian data analysis and statistical modeling, offering tools, documentation, and a supportive user community.
Domino Data Lab is an enterprise AI platform that helps data science teams accelerate research, deploy models, and collaborate using trusted tools.
Caffe is an open-source deep learning framework that lets you build, train, and deploy neural networks for computer vision and other AI tasks.
Hugging Face is an open-source AI platform where you can explore, share, and collaborate on machine learning models, datasets, and applications.
Experiment with neural networks in your browser and see how machine learning works through interactive tools and real-time visualizations.
Explore peer-reviewed machine learning research papers and articles, freely available online from the Journal of Machine Learning Research (JMLR).
OpenCV offers open-source computer vision tools, libraries, and learning resources for building AI and machine learning applications.
Weights & Biases helps AI developers track experiments, manage models, and streamline machine learning workflows from training to production.
Explore Google Quantum AI’s latest research, tools, and resources to learn, experiment, and develop in the field of quantum computing and quantum hardware.
Climate Change AI connects the global community using machine learning to address climate change, offering resources, events, and collaboration opportunities.
Scikit-learn offers easy-to-use machine learning tools for Python, with clear guides and examples to help you build, test, and deploy models.
ONNX Runtime speeds up machine learning training and inference across platforms, helping you optimize AI models with your existing tech stack.
Data Mining Group creates open standards like PMML for sharing statistical and data mining models across different tools and platforms.
Build, train, and run machine learning models in JavaScript right in your browser or Node.js with TensorFlow.js, an open source ML library for web developers.
Dlib is a free, open-source C++ library with machine learning tools for building complex software, widely used in robotics, image processing, and more.
Stanford's CS229 offers a comprehensive introduction to machine learning, with lectures, materials, and resources for students and self-learners.
Explore, test, and deploy cutting-edge machine learning models in Chinese with this all-in-one AI development and sharing platform.
Explore and visualize high-dimensional data or machine learning embeddings interactively in your browser with TensorFlow’s easy-to-use projector tool.
Netron lets you open and visualize neural network, deep learning, and machine learning models right in your browser for easy exploration.
Torch is a scientific computing framework for LuaJIT, offering fast machine learning tools with GPU support and an active community for learning and support.
Explore XGBoost's official documentation for setup guides, tutorials, and detailed info on this popular machine learning library and its many features.
Free Lives is an indie game studio in Cape Town, South Africa, creating unique and action-packed games like Broforce, GORN, and Terra Nil.