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Type: User
Bio: Quantitative Finance
Location: Frankfurt
Type: User
Bio: Quantitative Finance
Location: Frankfurt
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Bayesian models to compute performance and uncertainty of returns and alpha.
Python
Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)
duka - Dukascopy historical data downloader
A list of online resources for quantitative modeling, trading, portfolio management
Collection of notebooks about quantitative finance, with interactive python code.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A collection of machine learning examples and tutorials.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Models and examples built with TensorFlow
Implementation of the Nelson-Siegel-Svensson interest rate curve model.
Recipes for using Python's pandas library
PyData 2018 tutorial for tidying data
Scrapes the Robinhood API to retrieve + store popularity and price data.
High-performance TensorFlow library for quantitative finance.
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.