Stars
The AI that really does things. Any OS. Any Platform. The lobster way. 🦞
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
用 rasa 实现 rasa demo 机器人，有一些惊奇的功能，faq，图谱，多轮等
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案，结构参考alpaca
This codebase is for a React and Electron-based app that executes the FreedomGPT LLM locally (offline and private) on Mac and Windows using a chat-based interface
Making large AI models cheaper, faster and more accessible
Instruct-tune LLaMA on consumer hardware
Code and documentation to train Stanford's Alpaca models, and generate the data.
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
Production First and Production Ready End-to-End Keyword Spotting Toolkit
XLNet: Generalized Autoregressive Pretraining for Language Understanding
🤗 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.
Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit
Production First and Production Ready End-to-End Speech Recognition Toolkit
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
pycorrector is a toolkit for text error correction. 文本纠错，实现了Kenlm，T5，MacBERT，ChatGLM3，Qwen2.5等模型应用在纠错场景，开箱即用。
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
一个执着于让CPU\端侧-Model逼近GPU-Model性能的项目，CPU上的实时率(RTF)小于0.1
Google AI 2018 BERT pytorch implementation
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
SpringBoot 使用教程 | 从入门到上瘾 | 基于2.0版本制作
Spring Boot工程实践，快速上手Spring Boot开发必备。最全的Spring Boot使用案例！
spring boot 实践学习案例，是 spring boot 初学者及核心技术巩固的最佳实践。