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Eurybia monitors data and model drift over time and securizes model deployment with data validation.
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A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
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A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
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An Easy-to-Use and High-Performance AI deployment framework.
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Tutorial on Python time-series model deployment.
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Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
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Sindresorhus Guides is a Linux or Unix documentation project with guides, references, or manuals.
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A machine learning / bayesian inference assigning attributes to objects.
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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.
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.
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Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.
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Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis).
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Bayesian Inference Tools in Python.
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Open-source platform for high-performance ML model serving.
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An open-source LLM gateway with routing, load balancing, guardrails, and observability for 1000+ models. opensource.
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Official inference framework for 1-bit LLMs, by Microsoft. opensource.
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Deploy a ML inference service on a budget in less than 10 lines of code.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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An easy-to-use feature store. Optimized for time-series data.
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Helm chart for Mastodon deployment in Kubernetes
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Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
github.com
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.