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Name: Kangmin Choi
Type: User
Company: Hanyang University
Bio: M.S. Student at Data Mining Lab, Hanyang University
Location: Seoul, South Korea
Name: Kangmin Choi
Type: User
Company: Hanyang University
Bio: M.S. Student at Data Mining Lab, Hanyang University
Location: Seoul, South Korea
Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
🔬 A curated list of awesome machine learning strategies & tools in financial market.
A python implementation of the 2404.15772v1.pdf paper on arxiv.org
List of papers, code and experiments using deep learning for time series forecasting
The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting".
This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"
NLinear-based Crypto Portfolio Management and Automated Trading
MambaStock: Selective state space model for stock prediction
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
Code for "Is Mamba Effective for Time Series Forecasting?"
Collection of side projects
In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.
Code for stock movement prediction from tweets and historical stock prices.
A comprehensive dataset for stock movement prediction from tweets and historical stock prices.
Today I Learned
A Library for Advanced Deep Time Series Models.
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
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.