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A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Python Bloomberg API and Pandas Wrapper
A complete computer science study plan to become a software engineer.
Project 1 for MIE451 - Fact-based question and answer system
A Python library for pricing game options/game contingent claims using Monte-Carlo methods
Set of Jupyter (iPython) notebooks (and few pdf-presentations) about things that I am interested on, like Computer Science, Statistics and Machine-Learning, Artificial Intelligence (AI), Financial Engineering, Optimization, Stochastic Modelling, Time-Series forecasting, Science in general... and more.
R kernel for Jupyter
A jupyter kernel for Wolfram Mathematica
A node.js kernel for jupyter/ipython
Tutorials on how to use pandas effectively to do data analysis
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
Introductory Examples of Graphical Models in pgmpy
U of T MIE1624 Fall 2017 - A1 - Tweet Sentiment Analysis of 2015 Canadian Election
Python Library for Probabilistic Graphical Models
Python for Finance – Second Edition, published by Packt
A Jupyter kernel to launch queries against SPARQL endpoints
Data and code of my Medium story on stock prediction with TensorFlow
Java API for working with the SWRL rule and SQWRL query languages
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.