Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows.
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Kubernetes-based system for hyperparameter tuning and neural architecture search.
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 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.
Kokoro-82M supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Standardized Serverless ML Inference Platform on Kubernetes.
Deploy and scale machine learning models on Kubernetes. Built for LLMs, embeddings, and speech-to-text.
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!
LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.
Serverless LLM apps on Production with Jina AI Cloud (Archived).
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
LifeArchitect supports machine learning models, deployment, inspection, datasets, or AI development workflows.
A model gateway and unified interface for multiple model providers.