Rui Wang's starred repositories
interview
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
How-To-Secure-A-Linux-Server
An evolving how-to guide for securing a Linux server.
chineseocr_lite
超轻量级中文ocr,支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
fullstack-tutorial
🚀 fullstack tutorial 2022,后台技术栈/架构师之路/全栈开发社区,春招/秋招/校招/面试
from_coder_to_expert
2021年最新总结,从程序员到CTO,从专业走向卓越,分享大牛企业内部pdf与PPT
quant-trading
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Conference-Acceptance-Rate
Acceptance rates for the major AI conferences
tqsdk-python
天勤量化开发包, 期货量化, 实时行情/历史数据/实盘交易
awesome-startup-credits
✨ A collection of awesome companies offering free/discounted plans for eligible startups
The-Hackers-Hardware-Toolkit
The best hacker's gadgets for Red Team pentesters and security researchers.
awesome-deep-trading
List of awesome resources for machine learning-based algorithmic trading
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
BeamerStyleSlides
🌈Beamer风格的幻灯片模板集。包含了PowerPoint和Keynote两套格式。
Shift-AI-models-to-real-world-products
Share some useful guides and references about how to shift AI models to real world products or projects.
Recommendation-systems-paperlist
Papers about recommendation systems that I am interested in
Machine-Learning
关于机器学习的内容
ML-Interview
Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
learn-ab-and-multivariate-testing
🆎 Tutorial on A/B and multivariate testing :heavy_check_mark: