allensmile Goto Github PK
Name: Allen
Type: User
Bio: Learn something new every day!
Location: Shang hai
Allen's Projects
daguan
2018达观杯文本智能处理挑战赛：基于ML、DL实现文本分类
daguan-classify-2018
2018达观杯长文本分类智能处理挑战赛 18解决方案
daguan_nlp
“达观杯”NLP算法挑战赛 竞赛成绩：排名前1%（29/2885）
daily-interview-question
工作日每天一道前端大厂面试题，祝大家天天进步，一年后会看到不一样的自己。
daily-question
每天一道面试题，有关前端，后端，devops以及软技能，促进职业成长，敲开大厂之门。
daisyrec
fair comparison for recommender system benchmarks
daizhigev20
殆知阁古代文献
dango-translator
团子翻译器 —— 个人兴趣制作的一款基于OCR技术的翻译器
darknet
darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析
darknet-1
Convolutional Neural Networks
darknet-ocr
darknet text detect and darknet cnn ocr
data
An index of all open-source data
data-1
Data and code behind the articles and graphics at FiveThirtyEight
data-analysis
Data Analysis Using Python
data-analysis-and-machine-learning-projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
data-competition-topsolution
Data competition Top Solution 数据竞赛top解决方案开源整理
data-describe
data⎰describe: Pythonic EDA Accelerator for Data Science
data-engineer-roadmap
Roadmap to becoming a data engineer in 2020
data-engineering-book
Accumulated knowledge and experience in the field of Data Engineering
data-science
Collection of useful data science topics along with code and articles
data-science--cheat-sheet
Cheat Sheets
data-science-at-the-command-line
Data Science at the Command Line
data-science-competition
该仓库用于记录和定期提供各大数据科学竞赛的赛事消息和原创baseline，思路分享以及博主的一些竞赛心得和学习资料等. 主要涵盖：kaggle, 阿里天池，华为云大赛校园赛，百度aistudio，和鲸社区，datafountain等
data-science-competitions
Goal of this repo is to provide solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
data-science-complete-tutorial
Notebooks to learn data science - Videos https://www.edyoda.com/resources/videolisting/1416/
data-science-for-beginners
10 Weeks, 20 Lessons, Data Science for All!
data-science-from-scratch
code for Data Science From Scratch book
data-science-interview-resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
data-science-interviews
Data science interview questions and answers
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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