MLOps-Courses / mlops-coding-course

Learn how to create, develop, and maintain a state-of-the-art MLOps code base

databricks / mlops-stacks

This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.

nuclia / nucliadb

NucliaDB, The AI Search database for RAG

statmike / gcp-mlops

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

Meesho / BharatMLStack

BharatMLStack is an open-source, end-to-end machine learning infrastructure stack built at Meesho to support real-time and batch ML workloads at Bharat scale

devopsinsiders / azure-aws-gcp-devsecops-mlops-batch-18

Welcome to the official repository for Batch18! 📚👩‍💻 Here, you'll find a organized collection of class notes, assignments, and code snippets generated during our sessions.

mlcommons / ck

Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.

superlinked / VectorHub

Deprecated historical repo. Superlinked now develops SIE, a self-hosted inference engine for embeddings, reranking, OCR, extraction, and document processing.

skops-dev / skops

skops is a Python library helping you share your scikit-learn based models and put them in production

CerebriumAI / examples

Examples for Cerebrium Serverless GPUs

Awesome-AI-Pedia / Awesome-AI-Pedia

AI skills大全 mcp ai知识库 Agent 全维度 AI 资源百科，DSH插件 收录大模型、智能 Agent、RAG 检索增强、多模态、MLOps、AI 应用工具、AI面试集、Vibe coding 大全、零基础学习路线，持续更新前沿 AI 开源项目，开发者一站式 AI 导航库

zorost / AI-Engineering-Lab

A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.

global-fde / awesome-fde-resources

A curated collection of resources, tools, practices, case studies, and opportunities for Forward Deployed Engineers.

jsdhwfmax / EvalForge

Evaluator-neutral AI evaluation evidence, baseline regression gates, and JSON, JUnit, and SARIF reports for CI.

togettoyou / zke

ZKE（Z Kubernetes Engine）：AI 原生的 Kubernetes 云操作环境，桌面式多集群控制台加受控 AIOps Agent，基于 Server + Agent 与 QUIC/mTLS，适用于私有云、混合云及边缘环境

led829155-droid / RecSys-MLops

Production-style end-to-end e-commerce recommendation platform with data engineering, MLOps, serving, governance, and observability on Kubernetes.

tomerglick57 / Jevstiller

Distill a repeated Jev classification task into a local model, on the fly — same answers, your hardware.

infercrane / infercrane

Open-source infrastructure for the full inference lifecycle: deploy, observe, scale, optimize, and safely release self-hosted models behind one endpoint.

MLOpsMENACommunity / mlops_practitioner_course

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Himanshu-giri-01 / k8s-ai-runtime

Streamline AI Workloads on Kubernetes: Universal Python SDK Guide 2026

fh6312 / kubeflow-pipeline-forge

Best AI Workload Orchestrator for Kubernetes Python 2026

tonyd2wild / The-Sparky-Command-Center

Plug-and-play, dependency-free web command center for DGX Spark fleets (and any GPU boxes): live per-node GPU/CPU/mem/temps/power, optional RouterOS switch monitoring, and per-model decode/prefill/TTFT/KV cards. Point it at your own hardware.

Bennett-MLOps-Lab / SCSE3040-Lab

Lab Assignment Files

00200200 / repro-lens

Static reproducibility checks, experiment replay, and verification for ML pipelines.

selvarajmurugesan90 / ops-engineering-skills

Open-source, cross-agent Agent Skills for DevOps, DevSecOps, Cloud, Kubernetes/platform engineering, CI/CD tooling, GitOps/Argo, policy, security scanning, SRE, standards/compliance, MLOps, AgentOps, and enterprise collaboration. Build once, use in Claude Code, GitHub Copilot, OpenAI Codex, Cursor and Gemini CLI.

axem-solutions / shaide

Self-hosted, distributed, multi-model LLM inference

talhaanwarch / awesome-llmops-platforms

Curated list of open-source LLMOps tools: tracing, evals, AI gateways, guardrails and prompt management. Sorted by stars, refreshed weekly.

mhmd-81 / mlops

just to learn

usamahz / make-your-model-fast

A Systems View of Efficient Machine Learning, from Silicon to Agents. Fourteen parts, from roofline analysis and vector units up through kernels, compilers, quantisation, compression, vision, on-device language models, robotics, profiling, serving and agents.

Tenosra / Proxima

Proxima lets existing GPUs serve 4x more concurrent requests

zencefilefendi / kadi

⚖️ Kadı — a calibrated judge in front of your frontier LLM. Routine decisions answered locally with a conformal-prediction guarantee (≤ α disagreement with the oracle); everything else escalated and learned from. Zero-dependency Python.