huacheng Goto Github PK
Name: Hua Cheng
Type: User
Location: Chongqing, China
Name: Hua Cheng
Type: User
Location: Chongqing, China
All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.
This project provides a comprehensive toolset for feature selection using LightGBM, a gradient boosting framework that uses tree-based learning algorithms. The primary goal is to improve model performance by selecting the most relevant features and discarding the redundant ones.
🤖 AgentVerse 🪐 provides a flexible framework that simplifies the process of building custom multi-agent environments for large language models (LLMs).
Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.
AlphaQuant: 股票实盘交易SDK,支持华泰,广发等70多个券商
alpha101, alpha191,alphalens
Approaching (Almost) Any Machine Learning Problem
Barra Multifactor Model
Provide risk forecasts by Barra China Equity Model
Barra CNE6 因子构建
A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
DevilYuan可视化股票量化系统,支持选股,历史数据自动下载,策略回测及参数优化,实盘交易和常用的统计功能
The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization
FinRL: Financial Reinforcement Learning. 🔥
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Code of Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field. ACM Transactions on Graphics (SIGGRAPH 2023).
Democratizing Index Tracking for Small Investors in Europe: A Meta-Learning Method for Sparse Portfolio Optimization
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
A python-based implementation of the HAR model to forecast realized volatility on SPY.
The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators.
This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. MASTER is a stock transformer for stock price forecasting, which models the momentary and cross-time stock correlation and guide feature selection with market information.
Monte Carlo tree search in JAX
量化投资
RiPO: Combining Reinforcement Learning and Barrier Functions for Adaptive Risk Management in Portfolio Optimization
Symbolic genetic algorithm for discovering open-form partial differential equations
This Program is part of My Super-Resolution Project. It has implemented a Blind Deblurring Algorithm for Shift-Invariant-Deblurring
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.