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fresty's Projects

dcgan-tensorflow icon dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deephccr icon deephccr

Offline Handwritten Chinese Character Recognition based on GoogLeNet and AlexNet (With CaffeModel)

deepqa icon deepqa

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

deepspeech icon deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

dehazenet icon dehazenet

DehazeNet: An End-to-End System for Single Image Haze Removal

dgk_lost_conv icon dgk_lost_conv

dgk_lost_conv 中文对白语料 chinese conversation corpus

dped icon dped

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

east icon east

A tensorflow implementation of EAST text detector

face_classification icon face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

fast-wavenet icon fast-wavenet

Speedy Wavenet generation using dynamic programming :zap:

ffmpeg-sharp icon ffmpeg-sharp

Automatically exported from code.google.com/p/ffmpeg-sharp

finch icon finch

More than 50 machine learning models (and tests) based on TensorFlow / PyTorch

fnlp icon fnlp

中文自然语言处理工具包 Toolkit for Chinese natural language processing

freeimage icon freeimage

Fork from FreeImage 3.15.4, new version 3.15.5, Added Support JPEG Quality in Tiff File, and Support YCbCr Tiff

funnlp icon funnlp

中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌&零件词库、时间抽取、连续英文切割、中文词向量大全、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名人词库、诗词词库、医学词库、饮食词库、法律词库、汽车词库、动物词库、中文聊天语料、中文谣言数据。

govpr icon govpr

gmm-ubm Voiceprint Recognition by Golang

h5stream icon h5stream

HTML5 RTSP paly a HTML5 streaming server

huaweiocr-2019 icon huaweiocr-2019

DataFountain HUAWEI OCR 2019 rank Top1% ,Text Localization using pixellink,Word Recognition using densenet

icdar2019_ctdar icon 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.

im2markup icon im2markup

Neural model for converting Image-to-Markup (by Yuntian Deng github.com/da03)

information-extraction-chinese icon information-extraction-chinese

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

ironjs icon ironjs

IronJS - A JavaScript implementation for .NET

jcbir icon jcbir

Automatically exported from code.google.com/p/jcbir

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