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An MLOps/LLMOps platform for model building, evaluation, and fine-tuning.
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Lets you create apps for your ML projects with deceptively simple Python scripts.
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Inference engine for TensorRT on Nvidia GPUs.
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Inference for text-embedding models.
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Large Language Model Text Generation Inference.
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Flexible, high-performance serving system for machine learning models.
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Uniform deep learning inference framework for mobile, desktop and server.
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A flexible and easy to use tool for serving PyTorch models.
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OpenTelemetry-based observability and monitoring for LLM and agents workflows.
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Provides an optimized cloud and edge inferencing solution.
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Highly Scalable Distributed Vector Search Engine.
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Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
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Python vector database you just need - no more, no less.
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Store, search, organize and make machine-learned inferences over big data at serving time.
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Machine Learning Operations - An awesome list of references for MLOps.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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The open source standard for data logging. Enables ML monitoring and observability.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Build and control your personal LLMs with fast and efficient fine-tuning.
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Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.