MissingVivi

MissingVivi's Stars

• UKPLab/sentence-transformers

  State-of-the-Art Text Embeddings

  Language:Python15.7k2.5k

• hequan2017/husky

  Django之入门CMDB系统

  Language:Python3012

• galsang/ABCNN

  Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

  Language:Python278123

• tcxdgit/cnn_multilabel_classification

  Multilabel classification based on TextCNN and Attention

  Language:Python7733

• exacity/deeplearningbook-chinese

  Deep Learning Book Chinese Translation

  Language:TeX35.9k9.1k

• epfml/attention-cnn

  Source code for "On the Relationship between Self-Attention and Convolutional Layers"

  Language:Python1.1k127

• localminimum/QANet

  A Tensorflow implementation of QANet for machine reading comprehension

  Language:Python984305

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.4k9.6k

• Kyubyong/transformer

  A TensorFlow Implementation of the Transformer: Attention Is All You Need

  Language:Python4.3k1.3k

• NELSONZHAO/zhihu

  This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

  Language:Jupyter Notebook3.5k2.1k

• allenai/dont-stop-pretraining

  Code associated with the Don't Stop Pretraining ACL 2020 paper

  Language:Python52873

• allenai/bi-att-flow

  Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

  Language:Python1.5k679

• china-ai-law-challenge/CAIL2019

  Language:Python346122

• ymcui/Chinese-ELECTRA

  Pre-trained Chinese ELECTRA（中文ELECTRA预训练模型）

  Language:Python1.4k171

• graykode/nlp-tutorial

  Natural Language Processing Tutorial for Deep Learning Researchers

  Language:Jupyter Notebook14.4k4k

• hecongqing/2018-daguan-competition

  2018年"达观杯"文本智能处理挑战赛-长文本分类-rank4

  Language:Jupyter Notebook28375

• JohnSnowLabs/spark-nlp

  State of the Art Natural Language Processing

  Language:Scala3.9k715

• loujie0822/Pre-trained-Models

  预训练语言模型综述

  546109

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python137k27.4k

• cooelf/SemBERT

  Semantics-aware BERT for Language Understanding (AAAI 2020)

  Language:Python28855

• FanhuaandLuomu/BiLstm_CNN_CRF_CWS

  BiLstm+CNN+CRF 法律文档（合同类案件）领域分词（100篇标注样本）

  Language:Python383108

• prometheusXN/LADAN

  The source code of article "Distinguish Confusing Law Articles for Legal Judgment Prediction", ACL 2020

  Language:Python6513

• MLNLP-World/Top-AI-Conferences-Paper-with-Code

  MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code

  2.6k603

• ymcui/Chinese-BERT-wwm

  Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

  Language:Python9.8k1.4k

• brightmart/roberta_zh

  RoBERTa中文预训练模型: RoBERTa for Chinese

  Language:Python2.6k410

• bojone/bert4keras

  keras implement of transformers for humans

  Language:Python5.4k927

• thunlp/TAADpapers

  Must-read Papers on Textual Adversarial Attack and Defense

  Language:Python1.5k195

• yinwenpeng/Answer_Selection

  For those who want to model the inter-sentence relations, pls use the more powerful code of "Attentive Convolution" in another repository

  Language:Python9131

• thunlp/RCPapers

  Must-read papers on Machine Reading Comprehension

  894172

• thunlp/OpenCLaP

  Open Chinese Language Pre-trained Model Zoo

  977147