Popular GitHub Repositories for Minio

? Palmr. is an open-source file-sharing platform focused on privacy and security. It enables users to upload, manage, and share files with features like password protection, custom links, and access control without tracking or limitations. Designed for seamless and secure sharing, Palmr. is completely free.

HugAi是由Springboot Vue2 elementUI集成各大AI大模型平台开发的智能问答助手，文本对话模型支持流式响应，现已接入OpenAi、chatGpt、讯飞星火、文心一言、Ollama，以及主流AI绘图Midjourney、Stable Diffusion，完全开源搭建属于自己的AI聊天室

基于 Java Web 项目的 SpringBoot 框架初始化模板，该模板整合了常用的框架（Mybatis-Plus、ShardingSphere、Redis、RabbitMQ、Elasticsearch、SaToken、OSS、Caffeine以及MongoDB等），广泛支持JDK11和JDK17，部分版本兼容JDK8，同时接入了Spring AI，该模板适用于前后端分离项目启动开发，保证大家在此基础上能够快速开发自己的项目，同时也适合入门学习，本项目会由作者持续更新。

Telegram LLM bot backed by OpenAI, Whisper, Beam, LLaMA, Weaviate, MinIO and MongoDB

MLFlow environment deployed with docker-compose, PostgreSQL as backend store and MinIO as S3 proxied artifact storage.

Arquitetura CRM de Baixo Custo com Gen AI, projetada para startups que precisam processar e analisar dados de vendas de forma eficiente.

Maternal Health Risk prediction MLOps pipeline

A minimalistic and pluggable machine learning platform for Kubernetes.

? Open-source LLM server (OpenAI, Ollama, Groq, Anthropic) with support for HTTP, Streaming, Agents, RAG

BigBertha is an architecture design that demonstrates how automated LLMOps (Large Language Models Operations) can be achieved on any Kubernetes cluster using open source container-native technologies ?

? A scalable, production-ready data pipeline for real-time streaming & batch processing, integrating Kafka, Spark, Airflow, AWS, Kubernetes, and MLflow. Supports end-to-end data ingestion, transformation, storage, monitoring, and AI/ML serving with CI/CD automation using Terraform & GitHub Actions.

Kafka variant of the MLOps Level 1 stack

本项目是一个面向生猪健康管理的智慧医药系统，有AI兽医功能、文章管理功能、药物管理功能、政策资讯管理功能，旨在通过数字化手段提升生猪养殖的医疗管理水平。系统集成 SpringBoot3 + Ollama + Spring AI + DeepSeek + MySQL8.0 + Mybatis-Plus，提供智能兽医诊断服务，帮助养殖户或兽医快速诊断生猪病情并推荐相应的治疗方案。

Simple yet Production Ready MLOps example of using any generating model

MLflow-tracking server example with Minio and H2O

MLflow and Prefect with docker-compose

Использование MLflow для трекинга экспериментов PyTorch и Sklearn

Minio2Milvus-BackEnd创建了一个由streamlit写得简易UI，同步Milvus与MinIO，实现新建库、删除库、上传文档、向量化文档、删除文档等功能。

Triton backend that enables pre-processing, post-processing and other logic to be implemented in Python. In the repository, I use tech stack including YOLOv8, ONNX, EasyOCR, Triton Inference Server, CV2, Minio, Docker, and K8S. All of which we deploy on k80 and use CUDA 11.4

Creating a Dockerized stack environment using MLflow, mysql and Minio to manage the lifecycle of TensorFlow models.