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adafruit_motor_shield_v2_library

v2!

adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

asrt_speechrecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统，使用CNN和CTC实现

attention-ocr-chinese-version

Attention OCR Based On Tensorflow

automatic_speech_recognition

End-to-end automatic speech recognition for Madarian and English in Tensorflow

b2b2c

java 开源b2b2c多用户电商平台

bezier_curve_text_spotting

A PyTorch implementation of "ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network" (CVPR 2020 oral)

blstm-cws

blstm-cws : Bi-directional LSTM for Chinese Word Segmentation

botsharp

The Open Source AI Bot Platform Builder in 100% C# Running in .NET Core

caffe_ocr

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

caffedeepocr

分割字符，与其他集成在一起

captcha_cracker

卷积神经网络实现的验证码识别

captcha_recognize

Image Recognition CAPTCHAs without image segmentation 无需图片分割的验证码识别

cbir

Large-scale image retrival by deep learning(基于深度学习的大规模图像检索)

chatbot

基於向量匹配的情境式聊天機器人

chinese-character-recognition-engine

Recognition of Handwritten Chinese Characters by geometrical techniques

chinese-characters-ocr-tensorflow

chinese-ocr

运用tensorflow实现自然场景文字检测,keras/pytorch实现crnn+ctc实现不定长中文OCR识别

chinese-speech-to-text

Chinese Speech To Text Using Wavenet

chinese-subtitle-ocr

Optical character recognition for Chinese subtitles using SSD and CNN

chinese-text-classification-based-on-naive-bayes

The development of computer and communications technology has resulted in huge amount of data. The automatic text classification technique has become very significant. Naive Bayes algorithm is based on probabilistic model. It is an effective way to deal with automatic text classification. The main task of this paper is to discuss the theoretical basis of Naive Bayes text classifier and describe the process of using Java language to accomplish the classifier. We can divide the classifier into two parts: the feature extraction and the calculation according to the feature. In the feature extraction part, I use the Chinese word segmentation method and the stop words filtering. In the classification part, I calculate the prior probability, the likelihood function value and the maximum a posterior estimation. During the simple test, the author uses the Sogou laboratory’s text classification corpus as the training set and the test set. During the test, the accuracy is between 39% to 56 %. The results show that there is still room for improvement. The paper also includes the discussion of its improvement methods and wider application.

chinese-word2vec

word2vec/glove/swivel binary file on chinese corpus

chinese_ocr

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

chinese_ocr_cnn-rnn-ctc

中文手写汉字识别

chinese_recongition

Handwritten recognition of Chinese characters

clari_wavenet_vocoder

cnn_keras

CNN | Keras | CAPTCHA recognition（卷积神经网络、Keras框架、验证码识别）

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

cps-ocr-engine

An awesome OCR engine developed by SYSU DeepDriving Lab

crnn_chinese_characters_rec

chinese characters recognition