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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A high-throughput and memory-efficient inference and serving engine for LLMs
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
LlamaIndex is the leading document agent and OCR platform
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Making large AI models cheaper, faster and more accessible
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration
SGLang is a high-performance serving framework for large language models and multimodal models.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
Fully open reproduction of DeepSeek-R1
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Fast and memory-efficient exact attention
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities