mlops

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

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

Open-source inference server and production cluster for all the models your agent needs.

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

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

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

nannyml: post-deployment data science in python

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

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

Automated Machine Learning on Kubernetes

🔥 Real-time NVIDIA GPU dashboard

🤖 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