
CatBoost
High-performance open source gradient boosting on decision trees library.
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Specialized AI capabilities precisely engineered for train machine learning models workflows.

High-performance open source gradient boosting on decision trees library.

Advancing open-source AI research and development.

Train custom machine learning models with a free, private desktop application.

Accelerate data science workflows with open-source libraries on GPUs.

Vision Transformer and MLP-Mixer architectures for image recognition and processing.

A collaborative data science environment in your browser.

Accelerated, hands-on micro-courses for production-grade data science.

The world's largest data science ecosystem for collaborative ML development, competitions, and datasets.

.NET Standard bindings for Google's TensorFlow, enabling C# and F# developers to build, train, and deploy machine learning models.

A repository of state-of-the-art model implementations for TensorFlow users.

An end-to-end open source platform for machine learning.

A fully managed machine learning service to build, train, and deploy ML models with fully managed infrastructure, tools, and workflows.

Build innovative AI solutions on a complete, enterprise-grade AI app platform.

Master data science and AI through interactive, hands-on coding challenges and real-time AI pedagogical support.

End-to-end platform for developing and deploying AI/ML models on edge devices.

The collaborative, AI-powered workspace for high-performance data science teams.

The notebook for reproducible research and collaborative data science.

A fully-managed, unified AI development platform for building and using generative AI, enhanced by Gemini models.