Popular GitHub Repositories for Multimodal Large Language Models

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

21 Lessons, Get Started Building with Generative AI ? https://microsoft.github.io/generative-ai-for-beginners/

FULL v0, Cursor, Manus, Same.dev & Lovable System Prompts & AI Models.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

? Empowering everyone to build reliable and efficient smart contracts.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A natural language interface for computers

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

? The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, and more.

Drag & drop UI to build your customized LLM flow

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Making large AI models cheaper, faster and more accessible

Build and share delightful machine learning apps, all in Python. ? Star to support our work!

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

A generative speech model for daily dialogue.