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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
A comprehensive survey on the time series domains
基于pytorch的bert_bilstm_crf中文命名实体识别
text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。
State-of-the-Art Text Embeddings
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
A curated list of Early Exiting papers, benchmarks, and misc.
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Papers, code and datasets about deep learning and multi-modal learning for video analysis
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
A comprehensive list of awesome contrastive self-supervised learning papers.
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。
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…
Embedding, NMT, Text_Classification, Text_Generation, NER etc.
Reject complicated operations for incorporating lexicon for Chinese NER.
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
A curated list of pretrained sentence and word embedding models
A simple deep learning framework in pure python for purpose of learning in DL