Illusion Diffusion supports machine learning models, deployment, inspection, datasets, or AI development workflows.
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Infer.NET provides machine-learning models, research, training resources, or evaluation tools.
Helps teams build, deploy, observe or operate machine-learning systems.
IUMB supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Build multimodal AI services via cloud native technologies · Model Serving · Generative AI · Neural Search · Cloud Native.
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.
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.
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).
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.