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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Machine Learning Operations - An awesome list of references for MLOps.
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Store, search, organize and make machine-learned inferences over big data at serving time.
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Python vector database you just need - no more, no less.
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Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
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Highly Scalable Distributed Vector Search Engine.
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Provides an optimized cloud and edge inferencing solution.
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OpenTelemetry-based observability and monitoring for LLM and agents workflows.
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A flexible and easy to use tool for serving PyTorch models.
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Inference for text-embedding models.
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Lets you create apps for your ML projects with deceptively simple Python scripts.
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An MLOps/LLMOps platform for model building, evaluation, and fine-tuning.
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Python-free Rust inference server with OpenAI API compatibility and hot model swapping.
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MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.
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Provides containers to encapsulate and deploy EdgeML pipelines and applications.
Examples showing how to use the OpenAI vision API to run inference on images, video files and webcam streams.
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OpenAI-compatible LLM inference server for Apple Silicon using MLX. 2-4x faster than Ollama with tool calling and prompt caching.
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The open source solution for monitoring your AI models in production.
github.com
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
github.com
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
github.com
Open-source vector similarity search for Postgres.
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Vector database plugin for Postgres, written in Rust, specifically designed for LLM.
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Turns your ML code into microservices with web API, interactive GUI, and more.
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Open-source GenAI and LLM observability platform native to OpenTelemetry with traces and metrics. opensource.