luwuming Goto Github PK

100-days-of-ml-code

100-Days-Of-ML-Code中文版

ai-comp

AI-Challenger Baseline 细粒度用户评论情感分析

ai-job-recommend

国内公司人工智能方向（含机器学习、深度学习、计算机视觉和自然语言处理）岗位的招聘信息（含全职、实习和校招）

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

alg

just for code and improve alg

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

attention

some attention implements

bankcardocr

基于keras的银行卡号识别

bankcardrecognition

基于python3.6+opencv3+tensorflow+cnn的银行卡识别

caffe

Caffe: a fast open framework for deep learning.

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

caffe_ocr_ctpn_ctc

端对端文字识别项目

casia-hwdb-recognition

CNN models for CASIA-HWDB dataset recognition, Implementation of paper <Building Fast and Compact Convolutional Neural Networks for Offline Handwritten Chinese Character Recognition>

character_set

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

chinese_font_recognition

A base pipline for chinese recognition

chinese_ocr

OCR of Handwritten Chinese character resume

chinese_ocr-1

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

code

code_read

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

crnn_ctc_ocr.tensorflow

Extremely simple implement for CRNN by Tensorflow

crnn_kreas

OCR 基于 Keras

cs-notes

:books: 技术面试必备基础知识

cs-notes-1

我的自学笔记，在学习C++、MLSys，整理算法、操作系统，后续学习分布式系统，终身更新。

data-competition-topsolution

Data competition Top Solution 数据竞赛top解决方案开源整理

deep-learning

:computer:Tensorflow实战：实战教程、手写数字识别、Discuz验证码识别

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deephccr

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

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06