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Eurybia monitors data and model drift over time and securizes model deployment with data validation.
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Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
github.com
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.
github.com
An Easy-to-Use and High-Performance AI deployment framework.
github.com
Tutorial on Python time-series model deployment.
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Open-source platform for high-performance ML model serving.
github.com
Go binding for MXNet c predict api to do inference with a pre-trained model.
github.com
Build multimodal AI services via cloud native technologies · Model Serving · Generative AI · Neural Search · Cloud Native.
github.com
Open source MLOps project that eases model handoffs between data scientist and DevOps.
github.com
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
github.com
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
github.com
Python-free Rust inference server with OpenAI API compatibility and hot model swapping.
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An MLOps/LLMOps platform for model building, evaluation, and fine-tuning.
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Large Language Model Text Generation Inference.
github.com
A machine learning / bayesian inference assigning attributes to objects.
github.com
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
github.com
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.
github.com
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).
github.com
Bayesian Inference Tools in Python.
github.com
An open-source LLM gateway with routing, load balancing, guardrails, and observability for 1000+ models. opensource.