lingbomanbuwww's starred repositories
open-c-book
开源书籍:《C语言编程透视》,配套视频课程《360° 剖析 Linux ELF》已上线,视频讲解更为系统和深入,欢迎订阅:https://www.cctalk.com/m/group/88089283
Redis-Code
redis键值数据库源码分析
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
daily-interview
Datawhale成员整理的面经,内容包括机器学习,CV,NLP,推荐,开发等,欢迎大家star
deep-learning-roadmap
:satellite: All You Need to Know About Deep Learning - A kick-starter
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
USTC-Course
:heart:**科学技术大学课程资源
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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
TextClassificationImplement
’达观杯‘文本智能处理挑战赛,文本分类任务的实现,包括一些传统的监督学习算法和深度学习算法,主要基于sklearn/xgb/lgb/pytorch包实现。
ResumeSample
Resume template for Chinese programmers . 程序员简历模板系列。包括PHP程序员简历模板、iOS程序员简历模板、Android程序员简历模板、Web前端程序员简历模板、Java程序员简历模板、C/C++程序员简历模板、NodeJS程序员简历模板、架构师简历模板以及通用程序员简历模板
mlcourse.ai
Open Machine Learning Course
Data-Competition-TopSolution
Data competition Top Solution 数据竞赛top解决方案开源整理
Reco-papers
Classic papers and resources on recommendation
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
nmt-seq2seq
seq2seq model written in Pytorch
ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
SOHU_competition
Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)
handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Facial-Expression-Recognition.Pytorch
A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
tensorflow-white-paper-notes
Annotated notes and summaries of the TensorFlow white paper, along with SVG figures and links to documentation
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
deep-photo-styletransfer
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511