github.com
LLM Ops platform with Analytics, Monitoring, Evaluations and an LLM Optimization Studio powered by DSPy.
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github.com
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
github.com
Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.
github.com
Standardized Serverless ML Inference Platform on Kubernetes.
github.com
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
github.com
Open source MLOps project that eases model handoffs between data scientist and DevOps.
github.com
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
github.com
Kubernetes custom resource definition for serving ML models on arbitrary frameworks.
github.com
Kubernetes-based system for hyperparameter tuning and neural architecture search.
github.com
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
github.com
Build multimodal AI services via cloud native technologies · Model Serving · Generative AI · Neural Search · Cloud Native.
github.com
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
github.com
Create customizable UI components around your models.
github.com
Go binding for MXNet c predict api to do inference with a pre-trained model.
github.com
Production-grade SDK for observability, automated evaluations and prompt management with sub-100ms guardrails for LLM/agent workflows.
github.com
Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.
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A Virtual Feature Store. Turn your existing data infrastructure into a feature store.
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An enterprise-grade, high performance feature store.
github.com
FeatherCNN is a high performance inference engine for convolutional neural networks.
github.com
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
github.com
A library for efficient similarity search and clustering of dense vectors.
github.com
Interactive reports to analyze ML models during validation or production monitoring.
github.com
Eurybia monitors data and model drift over time and securizes model deployment with data validation.
github.com
10x faster, cheaper, and better vector database.