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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.

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.

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

Algorithms for learning and inference with discrete probabilistic models.

A hub of integrations for LlamaIndex including data loaders, tools, vector databases, LLMs and more.

LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

LLMSTXT.NEW provides machine-learning models, research, training resources, or evaluation tools.

LM Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.

A tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Observability and prompt management platform for LLM-based apps. Take your LLMs to the next level.

A chat LLM based on the state-space model architecture.

A model-agnostic visual debugging tool for machine learning.