Kubernetes-based system for hyperparameter tuning and neural architecture search.
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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.
Create customizable UI components around your models.
Go binding for MXNet c predict api to do inference with a pre-trained model.
Production-grade SDK for observability, automated evaluations and prompt management with sub-100ms guardrails for LLM/agent workflows.
Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.
A Virtual Feature Store. Turn your existing data infrastructure into a feature store.
An enterprise-grade, high performance feature store.
FeatherCNN is a high performance inference engine for convolutional neural networks.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
A library for efficient similarity search and clustering of dense vectors.
Interactive reports to analyze ML models during validation or production monitoring.
Eurybia monitors data and model drift over time and securizes model deployment with data validation.
10x faster, cheaper, and better vector database.
MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search.
Fast inference engine for Transformer models in C++.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source tool that lets you package ML models in a standard, production-ready container.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
An easy-to-use feature store. Optimized for time-series data.