M1zheng

M1zheng's Stars

• guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

  Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.

  Language:Python1.5k231

• HqWu-HITCS/Awesome-Chinese-LLM

  整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

  17.5k1.7k

• modelscope/ms-swift

  Use PEFT or Full-parameter to finetune 400+ LLMs (Qwen2.5, InternLM3, GLM4, Llama3.3, Mistral, Yi1.5, Baichuan2, DeepSeek3, ...) and 150+ MLLMs (Qwen2-VL, Qwen2-Audio, Llama3.2-Vision, Llava, InternVL2.5, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, Yi-VL, DeepSeek-VL2, Phi3.5-Vision, GOT-OCR2, ...).

  Language:Python5.1k441

• QwenLM/Qwen2.5

  Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

  Language:Shell11.8k707

• hiyouga/LLaMA-Factory

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

  Language:Python38.2k4.7k

• cristianleoo/rag-knowledge-graph

  Language:Jupyter Notebook176

• chatchat-space/Langchain-Chatchat

  Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

  Language:TypeScript33k5.7k

• datawhalechina/hand-bert

  Building BERT Model with PyTorch

  Language:Python174

• datawhalechina/desktop-pet

  基于文心一言和树莓派Pico的最简易桌面宠物

  Language:Python5821

• datawhalechina/smart-prompt

  一个构建“听话”提示词的教程

  233

• datawhalechina/wow-rag

  A simple and trans-platform rag framework and tutorial

  Language:Jupyter Notebook8110

• SCHENLIU/longformer-chinese

  chinese version of longformer

  Language:Python11116

• yongzhuo/Keras-TextClassification

  中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

  Language:Python1.8k405

• cxcygzs/Learning_ResourcesForGraduates

  研究生知识图谱学习资源

  133

• thunlp/CSSReview

  This repository contains the paperlist of CSS.

  26

• Xu1Aan/KGExplorer

  本项目旨在结合知识图谱技术和先进的大语言模型，构建一个能够深入理解用户问题并提供准确、有逻辑性回答的智能问答系统。

  Language:Python513

• littlewwwhite/KnowledgeGraph-based-on-Raw-text-A27

  基于大模型+知识图谱的知识库问答

  Language:Python20827