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Type: User
Bio: Have been enjoying programming for over 20 years. Experienced in Python, C#, C/C++ KDB, SQL, etc on both Linux and Windows. Currently working in finance.
Location: London
Type: User
Bio: Have been enjoying programming for over 20 years. Experienced in Python, C#, C/C++ KDB, SQL, etc on both Linux and Windows. Currently working in finance.
Location: London
Amazon Employee Access Challenge
High performance datastore for time series and tick data
Windows Containers for Docker Voting App
A helper library for async/await.
Issues found within and using Bash on Ubuntu on Windows
A microbenchmark support library
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
Conan Extension for Visual Studio
PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
Apps hosted in the Dash Gallery
dplyr-style piping operations for pandas dataframes
A minimal (Alpine Linux) docker container for running KDB+
Documentation of Clockwork concepts and tooling.
Allows the kdb+ interpreter to call Python functions
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
Program to generate IObservable version of Events for WPF controls. http://stackoverflow.com/q/14909963/1367
Utilities that add functionality to ExcelDna such as creating a COM like interface to the C API
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
A look at regulatory challenges and recommendation in the age of AI. Investigating topics like monopoly formation, machine learning auditability, bias mitigation strategies and automated regulatory monitoring.
FLINT (Fast Library for Number Theory)
Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.
As described in Advances of Machine Learning by Marcos Prado.
A collection of useful .gitignore templates
Implied Volatility of Options
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
Paste Kaggle solutions from winners
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.