Discover the best AI tools to help you train machine learning models.
High-performance open source gradient boosting on decision trees library.
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.
Train custom machine learning models with a free, private desktop application.
Accelerate data science workflows with open-source libraries on GPUs.
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.
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.
Build innovative AI solutions on a complete, enterprise-grade AI app platform.
A fully-managed, unified AI development platform for building and using generative AI, enhanced by Gemini models.
PostgresML is a Postgres extension that enables you to run machine learning models directly within your database.
Automates the creation of optimized AI IoT sensor recognition code for edge devices.
The notebook for reproducible research and collaborative data science.
A decentralized AI supercomputer leveraging global compute power for open superintelligence.
A decentralized AI supercomputer connecting devices worldwide to power open superintelligence.
An AI platform and expert services for reliable AI deployment in high-stakes environments.
A unified platform for building, deploying, and managing AI agent systems securely.
