BaoBaoJiu's repositories
angular-electron
Ultra-fast bootstrapping with Angular and Electron :speedboat:
awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
cppbestpractices
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.
CTP-CSharp
convert CTP dll to C# code format by swig
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
fastapi-celery
Example of how to handle background processes with FastAPI, Celery, and Docker
FtdcNet.CTP
.Net wrapper for ftdc2c_ctp. Support x86/x64/AnyCPU.
GameDevMind
最全面的游戏开发技术图谱。帮助游戏开发者们在已知问题上节省时间，省出更多的精力投入到更有创造性的工作中去。 | The most comprehensive technical map of game development. Help game developers save time on known problems and save more energy for more creative work.
JQdataServiceForVNPY
数据服务：使用聚宽jqdatasdk获取分钟数据按vnpy的Bar格式导入至mongodb中，提供本地数据库数据校验功能
KLineChart
📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.（可高度自定义的轻量级k线图，无第三方依赖，支持移动端）
LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
open-md-gateway
Diff协议行情网关, 支持实时行情和历史行情
open-trade-gateway
Diff协议中继网关, 支持 CTP / FEMAS / UFX 等交易系统
rqalpha
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
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.
tedukuri
《算法竞赛进阶指南》资源社区
tensorflow-handbook
简单粗暴 TensorFlow 2.0 | A Concise Handbook of TensorFlow 2.0
timeseries-clustering-vae
Variational Recurrent Autoencoder for timeseries clustering in pytorch