Rui Wang (isnowfy)

isnowfy

Geek Repo

Location:China

Home Page:www.isnowfy.com

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Rui Wang's starred repositories

weekly

科技爱好者周刊,每周五发布

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.

Language:C++License:NOASSERTIONStargazers:33456Issues:869Issues:62

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

Language:C++License:GPL-2.0Stargazers:11566Issues:241Issues:361

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

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Language:Jupyter NotebookLicense:MITStargazers:8603Issues:143Issues:25

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

Language:PythonLicense:Apache-2.0Stargazers:5357Issues:235Issues:15

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.

Language:PythonLicense:MITStargazers:5096Issues:191Issues:17

stock

30天掌握量化交易 (持续更新)

Language:PythonLicense:BSD-3-ClauseStargazers:4875Issues:261Issues:30

PyBoy

Game Boy emulator written in Python

Language:PythonLicense:NOASSERTIONStargazers:4480Issues:75Issues:134

Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

Language:Jupyter NotebookLicense:MITStargazers:3914Issues:127Issues:28

halley

A lightweight game engine written in modern C++

Language:C++License:Apache-2.0Stargazers:3496Issues:78Issues:53

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

Language:PythonLicense:Apache-2.0Stargazers:3443Issues:109Issues:284

awesome-startup-credits

✨ A collection of awesome companies offering free/discounted plans for eligible startups

qtpylib

QTPyLib, Pythonic Algorithmic Trading

Language:PythonLicense:Apache-2.0Stargazers:2111Issues:139Issues:153

The-Hackers-Hardware-Toolkit

The best hacker's gadgets for Red Team pentesters and security researchers.

Sequoia

A股自动选股程序,实现了海龟交易法则、缠中说禅牛市买点,以及其他若干种技术形态

Language:PythonLicense:MITStargazers:1739Issues:67Issues:40

stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

awesome-deep-trading

List of awesome resources for machine learning-based algorithmic trading

License:MITStargazers:1409Issues:74Issues:0

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.

996Quant

35岁程序员退路之量化投资学习笔记

Language:Jupyter NotebookLicense:MITStargazers:1118Issues:56Issues:1

BeamerStyleSlides

🌈Beamer风格的幻灯片模板集。包含了PowerPoint和Keynote两套格式。

Language:TeXLicense:MITStargazers:1019Issues:22Issues:7

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

RLQuant

Applying Reinforcement Learning in Quantitative Trading

Language:Jupyter NotebookStargazers:329Issues:32Issues:8

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: