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The repository for various machine learning POC
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
Additional convenience processors not found in core Apache NiFi
An Apache NiFi processor to encode and decode data using Google Protocol Buffer schemas.
A collection of templates for use with Apache NiFi.
Nucleus SDK with instructions and examples on how to use Nucleus APIs
Slide show presentations regarding data driven investing.
My presentations
Financial markets analysis framework for programmers
Papers with code. Sorted by stars. Updated weekly.
Python Algorithmic Trading Library
Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"
Financial portfolio optimisation in python, including classical efficient frontier and advanced methods.
Systematic Trading in python
All Algorithms implemented in Python
A collection of design patterns/idioms in Python
QuantStart Forex Backtesting and Live Trading
QuantStart.com - Advanced Trading Infrastructure
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Python Implementation of Reinforcement Learning: An Introduction
Contains all the Jupyter Notebooks used in our research
Notebook for <Advances in Financial Machine Learning> using Python 3.7
A unified approach to explain the output of any machine learning model.
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.