Pinned Repositories
2019Cail-A-Bert-Joint-Baseline-for-Machine-Comprehension
(2019 法研杯 阅读理解) A pytorch implement of bert joint baseline for machine comprehension task in 2019 cail
2019Legal-AI-Challenge-Legal-Case-Element-Recognition-solution
Completed this competition in collaboration with Jiang Yan(https://github.com/jy1993) and Guan Shuicheng(https://github.com/guanshuicheng).
bert
TensorFlow code and pre-trained models for BERT
chinese_ocr-master
Competition
Share my competitions
Data-structures-and-algorithms
For data structures and algorithms learning in Python
master-degree
something interesting
OCR
The OCR project
pytorch_SRU
SRU implement in pytorch(Training RNNs as Fast as CNNs)
The-starting-of-NLP
自然语言处理
wangxupeng's Repositories
wangxupeng/2019Legal-AI-Challenge-Legal-Case-Element-Recognition-solution
Completed this competition in collaboration with Jiang Yan(https://github.com/jy1993) and Guan Shuicheng(https://github.com/guanshuicheng).
wangxupeng/master-degree
something interesting
wangxupeng/The-starting-of-NLP
自然语言处理
wangxupeng/Competition
Share my competitions
wangxupeng/OCR
The OCR project
wangxupeng/2019Cail-A-Bert-Joint-Baseline-for-Machine-Comprehension
(2019 法研杯 阅读理解) A pytorch implement of bert joint baseline for machine comprehension task in 2019 cail
wangxupeng/chinese_ocr-master
wangxupeng/Data-structures-and-algorithms
For data structures and algorithms learning in Python
wangxupeng/pytorch_SRU
SRU implement in pytorch(Training RNNs as Fast as CNNs)
wangxupeng/bert
TensorFlow code and pre-trained models for BERT
wangxupeng/CascadeRCNN
pytorch-1.1 torchvision-0.3
wangxupeng/CBNetV2
wangxupeng/chinese_ocr
CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras
wangxupeng/efficient_densenet_pytorch
A memory-efficient implementation of DenseNets
wangxupeng/PST-table
表格结构解析新思路(表格识别新思路)
wangxupeng/pytorch-pretrained-BERT
📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
wangxupeng/sru
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)