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VitePress deployment guide is a setup or documentation resource for developer tools, deployments, or web projects.

Eurybia monitors data and model drift over time and securizes model deployment with data validation.

Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.

A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.

Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated.

Full-stack AI platform focused on multimodal agents and consumer-scale deployment.

A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.

An Easy-to-Use and High-Performance AI deployment framework.

Tutorial on Python time-series model deployment.

A model gateway and unified interface for multiple model providers.

Package, configure, and iterate on a model with Truss at whatever level of control your model needs.

Run sandboxes, task queues, and custom model inference with ultrafast boot times, instant autoscaling, and a developer experience that just works.

Open-source platform for high-performance ML model serving.

Go binding for MXNet c predict api to do inference with a pre-trained model.

Build multimodal AI services via cloud native technologies · Model Serving · Generative AI · Neural Search · Cloud Native.

Open source MLOps project that eases model handoffs between data scientist and DevOps.

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

Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.

Python-free Rust inference server with OpenAI API compatibility and hot model swapping.

An MLOps/LLMOps platform for model building, evaluation, and fine-tuning.

Large Language Model Text Generation Inference.

A machine learning / bayesian inference assigning attributes to objects.

Agenta supports deploying, serving, monitoring, or operating AI and machine-learning systems.

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