tak-wah Goto Github PK

ad-papers

Papers on Computational Advertising

adegenet

adegenet: a R package for the multivariate analysis of genetic markers

aiss-spider

爱丝APP图片爬虫，以及免支付破解VIP看图

ansj_seg

ansj分词.ict的真正java实现.分词效果速度都超过开源版的ict. 中文分词,人名识别,词性标注,用户自定义词典

apollo

An open autonomous driving platform

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awk

:book: The AWK Programming Language (AWK 程序设计语言) 中文翻译, LaTeX 排版

benchmark_results

visual tracker benchmark results

caffe-face

This branch is developed for deep face recognition

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

cnn4brca

Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA). Master's thesis

deep-learning-demo

:pill: The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-with-cats

Deep learning with cats (^._.^)

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15个章节，近20万字。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............ 版权所有，违权必究 Tan 2018.06

deeplearningbook

dsb2017

The solution of team 'grt123' in DSB2017

dsb2017-1

Code for 2nd place solution to the 2017 National Data Science Bowl

epidemic

face-resources

face_recognition

The world's simplest facial recognition api for Python and the command line

facenet

Face recognition using Tensorflow

feature-engineering-for-ml-zh

:book: [译] 面向机器学习的特征工程

hithesis

嗨！thesis！哈尔滨工业大学毕业论文LaTeX模板

hive

install-opencv

shell scripts to install different version of OpenCV in different distributions of Linux

kaggle-2014-criteo

kaggle-avazu

2nd place solution for Avazu click-through rate prediction competition

kaggle-lung-cancer-classification

kaggle data science bowl 2017 solution

kaggle-ml