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Name: K3RN4L K1LLER
Type: User
Bio: DON'T WASTE FOOD!
Twitter: lewisjarbon
Location: linux
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
ARCH models in Python
CNNpred: CNN-based stock market prediction using a diverse set of variables
Here you will find materials for the course of Computational Finance
[Quantitative Finance 2019] Sovereign Risk Zones in Europe During and After the Debt Crisis
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
distfit is a python library for probability density fitting.
Log-periodic power laws for critical phenomena
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
Fuzzy Logic and Fuzzy Inference Python 3 Library
Python toolkit for quantitative finance
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
Python implementation for solving log-periodic power law formulae for stock price prediction
Library for fitting the LPPLS model to data.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
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.
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415
A nimble options backtesting library for Python
Predictive Power Score (PPS) in Python
Interact privately with your documents using the power of GPT, 100% privately, no data leaks
An event-based backtester written in Python for algorithmic trading.
Python library for Random Matrix Theory, cleaning schemes for correlation matrices, and portfolio optimization
Portfolio analytics for quants, written in Python
Random matrices package for Julia
Reinforcement learning for random matrix theory
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.