Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Build faster with AI coding agents. Factory Droids automate coding, testing, and deployment for startups and enterprises.
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
Feature store for machine learning.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
FeatherCNN is a high performance inference engine for convolutional neural networks.
An enterprise-grade, high performance feature store.
Feature Stores for ML provides machine-learning models, research, training resources, or evaluation tools.
A Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Ultravox is a real-time voice AI infrastructure layer that powers fast, natural, and scalable voice agents.
Ultravox is a real-time voice AI infrastructure layer that powers fast, natural, and scalable voice agents.
flake is a setup or documentation resource for developer tools, deployments, or web projects.
Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
Drag & drop UI to build your customized LLM flow using LangchainJS.
Library for high performance deep learning inference on NVIDIA GPUs.
Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.
Production-grade SDK for observability, automated evaluations and prompt management with sub-100ms guardrails for LLM/agent workflows.
FutureTools supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Host inference APIs, bulk inference and fine tune text, vision, audio and multi-modal models.
One-button Heroku deploy for the Ghost blogging platform.
Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
Cloud-Native LLM Routing Engine. Improve LLM app resilience and speed.
Go binding for MXNet c predict api to do inference with a pre-trained model.