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Platform for deploying your Machine Learning to production.

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

Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.

Helps teams build, deploy, observe or operate machine-learning systems.

Open-source project that 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.

Kubernetes-based system for hyperparameter tuning and neural architecture search.

A python package that integrates an LLM copilot inside the keras model development workflow.

Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.

Kubernetes custom resource definition for serving ML models on arbitrary frameworks.

Open-source project that 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.

Standardized Serverless ML Inference Platform on Kubernetes.

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

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

Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.

FastAPI framework to build production-grade LLM applications.

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

Serverless LLM apps on Production with Jina AI Cloud (Archived).

LLM Ops platform with Analytics, Monitoring, Evaluations and an LLM Optimization Studio powered by DSPy.

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

Neural network inference from the command line, implemented in CHICKEN Scheme.

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

Algorithms for learning and inference with discrete probabilistic models.