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MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.

Lets you create apps for your ML projects with deceptively simple Python scripts.

Inference engine for TensorRT on Nvidia GPUs.

Inference for text-embedding models.

Flexible, high-performance serving system for machine learning models.

Uniform deep learning inference framework for mobile, desktop and server.

A flexible and easy to use tool for serving PyTorch models.

OpenTelemetry-based observability and monitoring for LLM and agents workflows.

Provides an optimized cloud and edge inferencing solution.

Minimize LLM token complexity to save API costs and model computations.

Highly Scalable Distributed Vector Search Engine.

Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

Python vector database you just need - no more, no less.

Store, search, organize and make machine-learned inferences over big data at serving time.

Machine Learning Operations - An awesome list of references for MLOps.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

The open source standard for data logging. Enables ML monitoring and observability.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Build and control your personal LLMs with fast and efficient fine-tuning.

Awesome Engineering Games is a GitHub repository or organization with source code, releases, documentation, or project resources.