Popular GitHub Repositories for Go Zero

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Instant voice cloning by MIT and MyShell. Audio foundation model.

? Web File Browser

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

?Vite+Vue3+Gin拥有AI辅助的基础开发平台，支持TS和JS混用。它集成了JWT鉴权、权限管理、动态路由、显隐可控组件、分页封装、多点登录拦截、资源权限、上传下载、代码生成器、表单生成器和可配置的导入导出等开发必备功能。

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

SGLang is a fast serving framework for large language models and vision language models.

? 可 DIY 的 多模态 AI 聊天机器人 | ? 快速接入 微信、 QQ、Telegram、等聊天平台 | ?支持DeepSeek、Grok、Claude、Ollama、Gemini、OpenAI | 工作流系统、网页搜索、AI画图、人设调教、虚拟女仆、语音对话 |

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

IM Chat ChatGPT

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

An open source implementation of CLIP.

Agent Zero AI framework

OpenAI ChatGPT, GPT-3, GPT-4, DALL·E, Whisper API wrapper for Go

Gorse open source recommender system engine

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.

An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/

LangChain for Go, the easiest way to write LLM-based programs in Go

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.