AI & Machine Learning

Open-source runtime for ONNX models with hardware-specific optimizations for CPUs, GPUs, and edge devices. Supports inferencing and training across multiple ML frameworks.

Web-based notebook environment that combines live code, equations, narrative text, and rich output. Supports 40+ programming languages with modular architecture for data science and scientific computing.

Open-source high-level neural networks API that supports multiple backends. Designed for fast prototyping, readability, and production deployment.

An end-to-end open-source platform for machine learning with comprehensive tools, libraries, and community resources for building and deploying ML-powered applications.

Open-source machine learning framework developed by Meta and hosted by the Linux Foundation. Provides tensors and dynamic neural networks with strong GPU acceleration.

Open-source toolkit that accelerates AI inference with lower latency and higher throughput while maintaining accuracy. Supports computer vision, LLMs, and generative AI models from TensorFlow, PyTorch, and ONNX.

Open-source enterprise AI platform providing MCP registry, gateway, and orchestration with security guardrails to prevent data exfiltration and prompt injection attacks.