mlops

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

Community maintained hardware plugin for vLLM on Ascend

✨ Build a machine learning model from a prompt

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

A curated list of awesome projects and resources related to Argo (a CNCF graduated project)

cubestudio开源云原生一站式机器学习/深度学习/大模型AI平台/MaaS/mlops/人工智能平台/训推平台，算法全链路流程，多租户，算力租赁平台，token中转，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务，VGPU虚拟化，云边端协同，边缘计算，自动化标注平台，deepseek等大模型sft微调/奖励模型/强化学习训练，vllm/ollama/mindie大模型多机推理，私有知识库llmops智能体，AI模型市场，支持国产异构算力调度,昇腾/寒武纪/海光/摩尔/沐曦等，支持ib/roce/RDMA，信创支持

LUPINE is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.

🤖Self-Modifying Framework from the Future 🔮 World's First AMS

🏕️ Reproducible development environment for humans and agents

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

nannyml: post-deployment data science in python

MLOps examples

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Feathr – A scalable, unified data and AI engineering platform for enterprise

Safety-first guardrails for AI-driven cloud and Kubernetes operations

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

Automated Machine Learning on Kubernetes

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

AI Infrastructure Engineer Learning Track - Production ML infrastructure curriculum (2-4 years experience)

:closed_book: Clarity in the current fast-paced mess of Open Source innovation

🔥 Real-time NVIDIA GPU dashboard

Open Source Continuous Inference Benchmark Research Platform — Kimi K3 2.8T, MiniMax M3, DeepSeekv4, GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72 & soon™ TPUv6e/v7/Trainium2/3 | 开源持续推理基准研究平台 — Kimi K2.7-Code、MiniMax M3、DeepSeekv4、GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72，即将推出™ TPUv6e/v7/Trainium2/3

🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Gemini, Ollama, etc supported. :fireworks: Code RAG

ModelFox makes it easy to train, deploy, and monitor machine learning models.

A comprehensive Python package template to kickstart and standardize your MLOps initiatives and data pipelines.

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

Deploy a ML inference service on a budget in less than 10 lines of code.

Hopsworks - Data-Intensive AI platform with a Feature Store