Popular GitHub Repositories for Lifecycle

Open source platform for the machine learning lifecycle

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to monitoring.

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise/SaaS solutions, with features comparable to Hugging Face. Gain full control over the lifecycle of LLMs, datasets, and agents, with Python SDK compatibility with Hugging Face. Join us! ??

AllinSSL 是一个集证书申请、管理、部署和监控于一体的SSL证书全生命周期管理工具。AllinSSL is an all-in-one SSL certificate lifecycle management tool that integrates certificate application, management, deployment, and monitoring.

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.

An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.

A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.

GenAIOps with Prompt Flow is a "GenAIOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.

TapeAgents is a framework that facilitates all stages of the LLM Agent development lifecycle

A comprehensive collection of AI development patterns for building software with AI assistance, organized by implementation maturity and development lifecycle phases. Includes Foundation, Development, and Operations patterns with practical examples and anti-patterns.

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

Template for getting started with automated ML Ops on Azure Machine Learning

ForML - A development framework and MLOps platform for the lifecycle management of data science projects

Syngit - Kubernetes operator to push resources on a git repository and manage their lifecycle.

Managing the lifecycle of machine learning to support scalability, impact, collaboration, compliance and sharing.

Transform your software development lifecycle with Specif AI - an intelligent platform that turns project ideas into structured requirements and actionable tasks in minutes.

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

The purpose of this project's design, development, and structure is to create an end-to-end Machine Learning Operations (MLOps) lifecycle to classify an individual's level of obesity based on their physical characteristics and eating habits.