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Code to accompany Advanced Analytics with Spark from O'Reilly Media
Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.
Stock factor mining with CNN and GRU.
Recurrent Neural Network for predicting Stock Returns
Avellaneda-Stoikov HFT market making algorithm implementation
实践源码库:https://github.com/jast90/bigdata
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
Promise based HTTP client for the browser and node.js
Python Backtesting library for trading strategies
一个可爱的演示项目
A complete computer science study plan to become a software engineer.
C++那些事
:book: 作为对《C++ Concurrency in Action - SECOND EDITION》的中文翻译。
C++11 Lightweight Redis client: async, thread-safe, no dependency, pipelining, multi-platform
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
My completed implementation solutions for CS224N 2021 & 2019
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link
PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.
Deep learning for limit order book trading and mid-price movement
Deep Q-Learning for Market Making
Element release lib
fast-cpp-csv-parser
python-flask based web-application which uses a MySQL database
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
High Frequency Trading Strategies
Code base for the Learning PySpark book (in preparation)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.