zwboss

zwboss's Stars

• PaddlePaddle/PaddleOCR

  Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

  Language:Python45.4k7.9k

• xiaofengShi/CHINESE-OCR

  [python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

  Language:Python2.9k965

• nndl/nndl.github.io

  《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

  Language:HTML17.5k3.6k

• fastnlp/fastHan

  fastHan是基于fastNLP与pytorch实现的中文自然语言处理工具，像spacy一样调用方便。

  Language:Python75286

• matenure/FastGCN

  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

  Language:Python521111

• yao8839836/fast_text_gcn

  FastGCN for inductive text classification

  Language:Python8523

• yao8839836/text_gcn

  Graph Convolutional Networks for Text Classification. AAAI 2019

  Language:Python1.4k437

• luoda888/HUAWEI-DIGIX-AgeGroup

  2019 HUAWEI DIGIX Nurbs Solutions

  Language:Jupyter Notebook13361

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.7k3.7k

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.1k3k

• zhuchen03/FreeLB

  Adversarial Training for Natural Language Understanding

  Language:Python25141

• Makaixin/similar-sentence-pairs-in-epidemic

  天池大赛疫情文本挑战赛

  Language:Python4910

• zzy99/epidemic-sentence-pair

  天池 疫情相似句对判定大赛 线上第一名方案

  Language:Python43176

• microsoft/MMdnn

  MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

  Language:Python5.8k965

• dbiir/UER-py

  Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

  Language:Python3k527

• trueto/ERNIE2Torch

  a script from ERNIE1.0 or ERNIE2.0 to transfomers' BERT format

  Language:Python101

• HuiResearch/epidemicTextMatch

  天池大赛疫情文本挑战赛线上第三名方案分享

  Language:Python22836

• HuiResearch/cail2019_track2

  **法研杯CAIL2019要素抽取任务第三名方案分享

  Language:Python13930

• ymcui/Chinese-ELECTRA

  Pre-trained Chinese ELECTRA（中文ELECTRA预训练模型）

  Language:Python1.4k171

• lhwcv/nCoV_sentence_simi

  nCoV related sentence similarity by BERT

  Language:Python207

• CLUEbenchmark/CLUEPretrainedModels

  高质量中文预训练模型集合：最先进大模型、最快小模型、相似度专门模型

  Language:Python80696

• aespresso/a_journey_into_math_of_ml

  汉语自然语言处理视频教程-开源学习资料

  Language:Jupyter Notebook1.7k699

• ymcui/Chinese-BERT-wwm

  Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

  Language:Python9.8k1.4k

• czy36mengfei/tensorflow2_tutorials_chinese

  tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

  Language:Jupyter Notebook7.8k2k

• lzy23/-HW-age

  华为人口年龄预测

  Language:Jupyter Notebook1512

• apachecn/ailearning

  AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

  Language:Python39.8k11.5k

• milkboylyf/tianchi_OGeek

  在搜索业务下有一个场景叫实时搜索（Instance Search）,就是在用户不断输入过程中，实时返回查询结果。 此次赛题来自OPPO手机搜索排序优化的一个子场景，并做了相应的简化，意在解决query-title语义匹配的问题。简化后，本次题目内容主要为一个实时搜索场景下query-title的ctr预估问题。

  Language:Python13231