Pinned Repositories
2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement
2019CCF-BDCI大赛 最佳创新探索奖获得者 基于OCR身份证要素提取赛题冠军 天晨破晓团队 赛题源码
2D-Morphological-Network
2D Morphological-Network
7days-golang
7 days golang apps from scratch (web framework Gee, distributed cache GeeCache, object relational mapping ORM framework GeeORM etc) 7天用Go动手写/从零实现系列
ACL-2020-Papers
Statistics and accepted paper list of ACL 2020 with arXiv link
AdderNet
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
EssayKiller_V2
基于开源GPT2.0的初代创作型人工智能 | 可扩展、可进化
gector
Official implementation of the paper “GECToR – Grammatical Error Correction: Tag, Not Rewrite” // Published on BEA15 Workshop (co-located with ACL 2020) https://www.aclweb.org/anthology/2020.bea-1.16.pdf
Instaboost
Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"
mysql-tutorial
MySQL入门教程（MySQL tutorial book）
SOLO
SOLO: Segmenting Objects by Locations https://arxiv.org/abs/1912.04488
gztangde's Repositories
gztangde/SOLO
SOLO: Segmenting Objects by Locations https://arxiv.org/abs/1912.04488
gztangde/7days-golang
7 days golang apps from scratch (web framework Gee, distributed cache GeeCache, object relational mapping ORM framework GeeORM etc) 7天用Go动手写/从零实现系列
gztangde/ACL-2020-Papers
Statistics and accepted paper list of ACL 2020 with arXiv link
gztangde/AdderNet
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
gztangde/albert_pytorch
A Lite Bert For Self-Supervised Learning Language Representations
gztangde/algorithm-pattern
算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~
gztangde/Awesome-algorithm-interview
算法工程师(人工智能CV方向)面试问题及相关资料
gztangde/Chinese-Text-Classification-Pytorch
中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。
gztangde/chineseocr_lite
超轻量级中文ocr，支持竖排文字识别, 支持ncnn推理 , psenet(8.5M) + crnn(6.3M) + anglenet(1.5M) 总模型仅17M
gztangde/DataAugmentationForObjectDetection
Data Augmentation For Object Detection
gztangde/DeepIE
DeepIE: Deep Learning for Information Extraction
gztangde/entity-recognition-datasets
A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.
gztangde/GEC-Reading-List
A grammatical error correction reading list maintained by BLCU ICALL Research Group
gztangde/medical_entity_recognize
医疗实体识别
gztangde/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
gztangde/mrc-for-flat-nested-ner
Code for ACL 2020 paper `A Unified MRC Framework for Named Entity Recognition`
gztangde/nlp-beginner-finish
此项目完成了关于 NLP-Beginner：自然语言处理入门练习 的所有任务，所有代码都经过测试,可以正常运行。
gztangde/NLP-Conferences-Code
NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)
gztangde/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
gztangde/NMN
Source code and datasets for ACL 2020 paper: Neighborhood Matching Network for Entity Alignment.
gztangde/OrigamiNet
Public implementation of our CVPR Paper "OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page TextRecognition by learning to unfold"
gztangde/province-city-china
🇨🇳最全最新**【省、市、区县、乡镇街道】json,csv,sql数据
gztangde/pycorrector
pycorrector is a toolkit for text error correction. It was developed to facilitate the designing, comparing, and sharing of deep text error correction models.
gztangde/pythia
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
gztangde/TENER
Codes for "TENER: Adapting Transformer Encoder for Named Entity Recognition"
gztangde/tesseract
Tesseract Open Source OCR Engine (main repository)
gztangde/TR-Reading-List
A text readability reading list maintained by BLCU ICALL Research Group
gztangde/Transformer-OCR
gztangde/TriggerNER
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)
gztangde/weak-supervision-for-NER
Framework to learn Named Entity Recognition models without labelled data using weak supervision.