xuehuiping Goto Github PK

a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

albef

Code for ALBEF: a new vision-language pre-training method

albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

aliyun_ocr

阿里云OCR调用示例

aster.pytorch

ASTER in Pytorch

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-ocr

A curated list of promising OCR resources

bert

TensorFlow code and pre-trained models for BERT

bert-kbqa

基于bert的kbqa系统

bert4keras

keras implement of transformers for humans

blip

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

caffe

Caffe: a fast open framework for deep learning.

cctv_news

每日新闻联播文本

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

chinese_nre

Source code for ACL 2019 paper "Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge"

chinesebert

chineseocr_lite

超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M

chongchong

clts-dataset

A Chinese Long Text Summarization Dataset

cnn_lstm_ctc_ocr

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

coco-caption

convlab

DSTC8 Track 1 Task 1 End-to-End Multi-Domain Dialog Challenge Result:

convlab-2

ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems

cpm-generate

Chinese Pre-Trained Language Models (CPM-LM) Version-I

cpt

CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation

craft-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

create_text_jpg

生成文字图片，将文字绘制到图片，任意角度旋转

crnn

《深度实践OCR》chapter-8

crnn_chinese_characters_rec

https://github.com/Sierkinhane/CRNN_Chinese_Characters_Rec/

crslab

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).