Tuofengalways

Tuofengalways's Stars

• fengdu78/WZU-machine-learning-course

  温州大学《机器学习》课程资料（代码、课件等）

  Language:Jupyter Notebook1.9k701

• JosanSun/SEUThesis

  东南大学论文模板

  10323

• wavewangyue/ner

  命名实体识别实践与探索

  Language:Python721128

• Stveshawn/contextual_topic_identification

  Steam review texting embedding analysis

  Language:Python14152

• lonePatient/BERT-NER-Pytorch

  Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

  Language:Python2.1k429

• percent4/keras_bert_english_sequence_labeling

  本项目采用Keras和Keras-bert实现英语序列标注，其中对BERT进行微调。

  Language:Python91

• dwadden/dygiepp

  Span-based system for named entity, relation, and event extraction.

  Language:Python580121

• MaartenGr/BERTopic

  Leveraging BERT and c-TF-IDF to create easily interpretable topics.

  Language:Python6.3k778

• ddangelov/Top2Vec

  Top2Vec learns jointly embedded topic, document and word vectors.

  Language:Python3k374

• nlpcl-lab/ace2005-preprocessing

  ACE 2005 corpus preprocessing for Event Extraction task

  Language:Python29472

• lx865712528/EMNLP2018-JMEE

  This is the code for our EMNLP 2018 paper "Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation"

  Language:Python23557

• xixy/BERT_Event_Detection

  Use Google's BERT for Event Detection (ACE 2005 dataset)

  Language:Python5

• gaoisbest/NLP-Projects

  word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

  Language:OpenEdge ABL533148

• nlpcl-lab/bert-event-extraction

  Pytorch Solution of Event Extraction Task using BERT on ACE 2005 corpus

  Language:Python33952

• Hanlard/Transformer-based-pretrained-model-for-event-extraction

  使用基于Transformer的预训练模型在ACE2005数据集上进行事件抽取任务

  Language:Python15725

• chinwuDebug/RAKE_improve

  Improvement of RAKE Algorithm （Rapid Automatic keyword extraction）

  Language:Python3514

• yikangshen/PRPN

  Parsing Reading Predict Network

  Language:Python9625

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript55.2k15.9k

• datawhalechina/daily-interview

  Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star

  Language:HTML2.7k437

• CopyTranslator/CopyTranslator

  🔠Foreign language reading and translation assistant based on copy and translate.

  Language:TypeScript17.3k1.9k

• hk029/leetbook

  LeetCode题解开源书《LeetBook》

  Language:Batchfile38784

• amusi/Deep-Learning-Interview-Book

  深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

  7.8k1.3k

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook16.3k4.6k

• songyingxin/NLPer-Interview

  该仓库主要记录 NLP 算法工程师相关的面试题

  2.6k508

• PPshrimpGo/AIinterview

  算法工程师面试题整理

  889148

• fengdu78/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  16393

• JalanJiang/leetcode-notebook

  🌛LeetCode 题解，每日更新，欢迎 Watch。每天一道算法题，和我一起变强吧！

  Language:Python35958

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  179k51.2k

• moevis/lative

  show letters with massive spots

  Language:JavaScript6627

• jadore801120/attention-is-all-you-need-pytorch

  A PyTorch implementation of the Transformer model in "Attention is All You Need".

  Language:Python9k2k