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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

cascadercnn

pytorch-1.1 torchvision-0.3

cbnetv2

chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

chinese_ocr-master

competition

Share my competitions

data-structures-and-algorithms

For data structures and algorithms learning in Python

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

master-degree

something interesting

ocr

The OCR project

pst-table

表格结构解析新思路（表格识别新思路）

pytorch-pretrained-bert

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

pytorch_sru

SRU implement in pytorch（Training RNNs as Fast as CNNs）

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

the-starting-of-nlp

自然语言处理