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densenet-tensorflow

DenseNet Implementation in Tensorflow

docbank

DocBank: A Benchmark Dataset for Document Layout Analysis

documentphotocorrection

Document photo perspective transformation correction，利用unet网络进行 文档照片透视纠偏

drools

Drools is a rule engine, DMN engine and complex event processing (CEP) engine for Java.

easyocr

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

efficient_densenet_tensorflow

A memory efficient implementation of densenet.

efficientdensenet_crnn

memory efficient densenet+lstm+ctc实现中文识别

efficientnet-pytorch

A PyTorch implementation of EfficientNet

fewclue

FewCLUE 小样本学习测评基准，中文版

flan

funnelact

gasyori100knock

画像処理100本ノックして画像処理を画像処理して画像処理するためのもの For Japanese, English and Chinese

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gnnpapers

Must-read papers on graph neural networks (GNN)

graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

graphneuralnetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

graphneuralnetwork-1

《深入浅出图神经网络：GNN原理解析》配套代码

handwritten-text-recognition-for-apache-mxnet

This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.

hedwig

PyTorch deep learning models for document classification

human-detection-and-tracking

Human-detection-and-Tracking

icdar2019_ctdar

The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.

image-retrieval

图片向量检索服务，包含Numpy、Faiss、ES、Milvus多种计算引擎

imgaug

Image augmentation for machine learning experiments.

jd_nlp

《贪心学院-京东nlp》项目实战，学习笔记。

jiagu

Jiagu深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类

kb-ref_dataset

keras-gan

Keras implementations of Generative Adversarial Networks.

latex_ocr

:gem: 数学公式识别