The open source AI engineering platform. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI agents, LLM applications, and ML models 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

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

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

An opinionated framework for deploying, managing, and serving application workloads

A curated list of awesome open source and commercial MLOps platforms 🚀

A curated list of awesome open source tools and commercial products that will help you manage machine learning and data-science workflows and pipelines 🚀

ML container made simple