Machine Learning Platform

Browse 162 websites in this category • Page 1 of 9

Sites where Machine Learning Platform is a core feature are shown first, marked with a Core badge.

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Build machine learning models with no coding

Lobe on GitHub makes machine learning easy with open-source tools, code, and resources for building and training ML models, all in one place.

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Build and scale with Google-powered cloud tools

Google Cloud offers cloud computing, storage, AI, and data management tools to help businesses build, scale, and manage apps and services worldwide.

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Collaborate on open-source AI models and datasets

Join a collaborative AI community to explore, share, and build machine learning models, datasets, and applications. Open-source tools for all levels.

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Bring machine learning to your JavaScript apps

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.

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Run Python code with free GPU in your browser

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.

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Compete, learn, and share in data science

Join a global data science and machine learning community, access datasets, enter competitions, and use collaborative tools to grow your skills.

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Search and analyze your data with open source tools

OpenSearch is an open source search and analytics suite for finding, visualizing, and analyzing data, with AI and machine learning tools included.

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Build machine learning models in Python easily

Scikit-learn offers easy-to-use machine learning tools for Python, with clear guides and examples to help you build, test, and deploy models.

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Access free machine learning research papers

Explore peer-reviewed machine learning research papers and articles, freely available online from the Journal of Machine Learning Research (JMLR).

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Process big data and run analytics at scale

Apache Spark is an open-source engine for large-scale data analytics, supporting data engineering, science, and machine learning in multiple languages.

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Build AI software with C++ machine learning tools

Dlib is a free, open-source C++ library with machine learning tools for building complex software, widely used in robotics, image processing, and more.

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Build and manage AI models across any infrastructure

Clarifai lets you build, manage, and deploy AI and machine learning models across any computing environment, making AI workflows easier and more efficient.

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Discover talks and workshops in machine learning

ICML 2025 is the official site for the International Conference on Machine Learning, offering info on talks, workshops, registration, and event resources.

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Build deep learning models with ease

Keras offers user-friendly tools and guides for building deep learning models, making machine learning accessible and efficient for developers of all levels.

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Play with neural networks right in your browser

Experiment with neural networks in your browser and see how machine learning works through interactive tools and real-time visualizations.

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Access powerful computer vision tools and courses

OpenCV offers open-source computer vision tools, libraries, and learning resources for building AI and machine learning applications.

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Analyze and visualize data at high speed

OpenText Analytics Database offers fast data analysis, machine learning, and AI-powered insights for businesses, with flexible deployment options.

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Build and train SVM models with ease

SVM-Light offers tools and resources for building and training Support Vector Machine models, making machine learning accessible for researchers and developers.

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AWS cloud migration and managed services made easy

Metal Toad offers AWS managed services and machine learning solutions to help businesses migrate to the cloud, optimize costs, and modernize operations.

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Accelerate AI training and inference anywhere

ONNX Runtime speeds up machine learning training and inference across platforms, helping you optimize AI models with your existing tech stack.