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ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
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…
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommen…
A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).
Core components in the OCM project. Report here if you found any issues in OCM.
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
This is an implementation of the paper Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
A curated list of papers dedicated to neural text (semantic) matching.
Facilitating the design, comparison and sharing of deep text matching models.
A PyTorch implementation of a BiLSTM\BERT\Roberta(+CRF) model for Named Entity Recognition.
天池中药说明书实体识别挑战冠军方案;中文命名实体识别;NER; BERT-CRF & BERT-SPAN & BERT-MRC;Pytorch
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、…
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
DeepIE: Deep Learning for Information Extraction
Keyphrase or Keyword Extraction 基于预训练模型的中文关键词抽取方法(论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码)
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
🔥 Serverless Devs: Serverless developer tool ( Serverless Devs: Serverless 开发者工具 )
keras implement of transformers for humans
Neural text-to-text question generation
Pytorch implementation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
Models and examples built with TensorFlow
Code and data for the paper: Answer-based Adversarial Training for Generating Clarification Questions
Bert finetune for CMRC2018, CJRC, DRCD, CHID, C3
莱斯杯:全国第二届“军事智能机器阅读”挑战赛 - Rank7 解决方案