model-management

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

Build, Manage and Deploy AI/ML Systems

Open Source ML Model Versioning, Metadata, and Experiment Management

For You Agent——AI 时代的个人随身数字人格。把你的模型、AI 账号、技能、提示词和工作方式，带到每一个 AI 工具里。

stable_diffusion_webui的colab部署版本(including English version)，下载了所流行插件依赖和并进行初始化配置。拥有mod管理、手机自适应、图片信息本地读取等脚本。

Docker for Your ML/DL Models Based on OCI Artifacts

An Open Source, Self-Hosted Platform For Applied Deep Learning Development

A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀

BentoML Example Projects 🎨

Cloud Native ML/DL Platform

Experiment tracking for machine and deep learning projects

A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀

The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸

Cloud Native Machine Learning Model Registry

Relink missing models in ComfyUI workflows with fuzzy matching, and download them from HuggingFace/CivitAI

Solution for deploying and managing end-to-end federated learning workflows

A curated list of awesome open source and commercial platforms for serving models in production 🚀

Zoomaker - Friendly house keeping for your AI model zoo and related resources

ComfyUI extension for automatically resolving missing models in loaded workflows. It features intelligent local fuzzy matching, direct cloud downloads, background download tracking, and automated in-place workflow updating.

Runtime provenance for AI and scientific workflows—capture, enrich, and query workflow data via observability adapters and code annotation across edge, cloud, and HPC.