Awesome Argo
Section: Ecosystem Projects · extends SQL to support AI and compiles the SQL program to a workflow that runs on Kubernetes.
Entry
Appears in 6 awesome lists
Brings machine learning capabilities to SQL, enabling model training and prediction using SQL syntax.
Section: Ecosystem Projects · extends SQL to support AI and compiles the SQL program to a workflow that runs on Kubernetes.
Section: Data Processing & Analytics · Brings SQL and AI together.
Section: Tools · Brings machine learning capabilities to SQL, enabling model training and prediction using SQL syntax.
Section: Machine Learning · Brings SQL and AI together.
Section: 机器学习 · SQL引擎+AI引擎
Section: Other · Brings SQL and AI together.
Unified proxy and SDK that routes to 100+ LLM providers behind a single OpenAI-compatible interface, with a Router handling retry/fallback across deployments, per-project cost and rate-limit tracking, and OTEL callback integrations. The right infrastructure layer when your harness needs provider…
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…
Multi-cluster Kubernetes MCP server bridging Gemini CLI to kubeconfig and Kubernetes APIs. Manage clusters, policies, and 20+ CNCF project integrations across edge and cloud. Install via brew tap kubestellar/tap && brew install kc-agent.
State-of-the-art serving engine with PagedAttention and continuous batching. Currently the fastest production-grade LLM server.
MindsDB is an Explainable AutoML framework for developers. With MindsDB you can build, train and use state of the art ML models in as simple as one line of code.
Validation & testing of machine learning models and data during model development, deployment, and production. This includes checks and suites related to various types of issues, such as model performance, data integrity, distribution mismatches, and more.