Create customizable UI components around your models.
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GraphPipe supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Groq supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Guild AI supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Helicone AI supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Hermes Agent helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
Build, deploy, and scale production ML systems with Hopsworks. The Feature Store and MLOps platform for real-time AI, trusted by teams.
Python materials for the online course on diffusion models by @huggingface.
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.
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.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
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.