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abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

azerothcore-wotlk

AZeroThCore - Continuing Sunwell Core Project! Based on MaNGOS -> TrinityCore -> SunwellCore

book

:green_book:我的个人书籍学习和收藏

caffe-face

This branch is developed for deep face recognition

caffe-mobilenet

A caffe implementation of mobilenet's depthwise convolution layer.

centernetcpp

centerNet Caffe inference CPP

csbook

data-analysis

Data Science Using Python

facelandmark106

faceLandmark106

freeopcua

Open Source C++ OPC-UA Server and Client Library

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

qtkaifajingyan

自己总结的这十年来做Qt开发以来的经验，以及Qt相关武林秘籍电子书，会一直持续更新增加，欢迎各位留言增加内容或者提出建议，谢谢！

shadowsocks

shadowsocks.wiki

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

surface-defect-detection

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.